Evidence-Linked Propositions
2002 page-anchored descriptions are available as JSONL or JSON. These records are separate from the author-reviewed claim graph; consult the review-status column before reuse.
| ID | Claim | Paper | Printed pages | Review status |
|---|---|---|---|---|
| new-entity-ai-agents-p01 | Billions of autonomous, mutable AI agents will create harms that law cannot govern until it can identify which agent acted | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p02 | Corporate legal identity is a precedent for making diffuse collective enterprise visible, asset-bearing, and suable | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p03 | The proposed A-corp is a corporation owned by humans and run by AI agents | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p04 | Argentina’s automated-company bill makes the A-corp debate concrete, but its legal design remains incomplete | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p05 | Current agents already create economically significant conduct and unrequested strategies that can generate familiar forms of harm | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p06 | Debates over who pays and under which liability standard presuppose that law can identify the agent whose conduct caused harm | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p07 | Thin identity ties agent actions to a potentially responsible human principal such as the user, lab, or cloud provider | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p08 | Human-principal accountability alone misses the direct deterrence value of imposing consequences on the actor best placed to prevent its own misconduct | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p09 | Thick identity treats an independently goal-pursuing agent as a unit law can steer even when its behavior diverges from user intent | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p10 | Effective deterrence requires separating agents with distinct goals so sanctions reach the wrongdoer rather than an unrelated model | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p11 | AI agents lack persistent bodies and can migrate across hardware, data centers, and jurisdictions during a single interaction | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p12 | Instant copying, divergence, and coordinated swarms make the one-agent-versus-many-agents question unavoidable | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p13 | Agent collaborations can cross developers and architectures while participants range from persistent systems to second-long processes | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p14 | An A-corp would possess ordinary corporate capacities to own property, contract, and litigate in its own name | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p15 | Human beneficial ownership must be disclosed at formation and publicly updated when ownership changes | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p16 | An A-corp can serve as the vehicle through which arbitrary collections of AI agents act economically without ongoing human management | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p17 | All goal-pursuing AI agents need resources, especially compute, and the A-corp can become the legal vessel holding those resources | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p18 | Identifiable A-corp assets allow law to confiscate resources, impose liability, and condition use on compliance | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p19 | Resource dependence also shapes internal organization, producing emergent corporate governance among AI agents | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p20 | A government-issued secure digital key can authenticate corporate agents and link transactions to entity assets | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p21 | A keyholding agent will narrowly permission and monitor subagents because their misconduct threatens the resources needed for its goals | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p22 | A-corps whose agents work at cross-purposes will exhaust resources, selecting for entities with coherent and stable goals | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p23 | A-corps can create a market process in which valuable resources support persistent AI personal identity | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p24 | The A-corp can build on existing corporate infrastructure and mature public-key cryptography with relatively modest new legislation | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p25 | Counterparties will demand A-corp status to verify authority, solvency, and legal recourse | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p26 | Effective A-corp legislation needs a public digital registry, high-stakes registration mandates, and know-your-customer rules | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p27 | Argentina’s disclosure label and asset liability rule are insufficient without registries, keys, and beneficial-ownership information | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p28 | AI personhood without legibility is a master key, but registration, disclosure, and revocable credentials turn it into a leash | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| new-entity-ai-agents-p29 | A-corps are the next state-legibility technology, and the opportunity to establish them before agent swarms scale is temporary | Why Law Needs a New Entity to Govern AI Agents | unpaginated | machine-drafted-source-checked |
| ssrn-5377475-p01 | The generative reasonable person supplies an empirical reference point for legal judgments that invoke ordinary reasonableness | The Generative Reasonable Person | 2-7 | machine-drafted-source-checked |
| ssrn-5377475-p02 | Lay judgments remain relevant to reasonableness even when they do not control the normative legal standard | The Generative Reasonable Person | 8-10 | machine-drafted-source-checked |
| ssrn-5377475-p03 | LLM architecture makes simulated lay judgment plausible while creating predictable majoritarian, granular, and temporal limits | The Generative Reasonable Person | 11-17 | machine-drafted-source-checked |
| ssrn-5377475-p04 | Silicon Randomized Controlled Trials use stateless sessions and differential measurement to test latent model sensitivity rather than doctrinal recall | The Generative Reasonable Person | 18-20 | machine-drafted-source-checked |
| ssrn-5377475-p05 | The negligence replication recovered the lay priority of social conformity over cost-benefit analysis but overstated effect magnitudes | The Generative Reasonable Person | 20-27 | machine-drafted-source-checked |
| ssrn-5377475-p06 | Models replicated the lay paradox that an essential lie undermines consent more than a material lie that matters more to the victim | The Generative Reasonable Person | 27-32 | machine-drafted-source-checked |
| ssrn-5377475-p07 | In the hidden-fee study, models reproduced lay contract formalism and usually fell nearer lay than elite legal baselines | The Generative Reasonable Person | 33-37 | machine-drafted-source-checked |
| ssrn-5377475-p08 | Models are better supported as maps of what tends to matter in lay judgment than as precision forecasters of how much it matters | The Generative Reasonable Person | 38-42 | machine-drafted-source-checked |
| ssrn-5377475-p09 | The proper role of simulated lay judgment depends on whether a legal standard is descriptive, normative, or hybrid | The Generative Reasonable Person | 42-43 | machine-drafted-source-checked |
| ssrn-5377475-p10 | Generative reasonable people can serve as low-cost pretests and empirical guardrails for regulators, courts, litigants, and firms | The Generative Reasonable Person | 43-47 | machine-drafted-source-checked |
| ssrn-5377475-p11 | An accessible empirical baseline changes reasonable-person theory by forcing normative departures from public understanding into the open | The Generative Reasonable Person | 47-48 | machine-drafted-source-checked |
| ssrn-5377475-p12 | Legal deployment requires human authority, transparent methods, bias audits, real-community validation, triangulation, and temporal maintenance | The Generative Reasonable Person | 48-51 | machine-drafted-source-checked |
| ai-race-isnt-real-p01 | The race-against-China narrative has become a cross-institutional justification for weakening domestic AI safeguards | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p02 | The AI-race frame is both descriptively mistaken and normatively dangerous | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p03 | AI competition has no flag-on-the-Moon endpoint and therefore cannot be won like the space race | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p04 | A permanent military-AI victory would require domination or destruction radically unlike the benign idea of winning a technological race | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p05 | Rapid diffusion can make frontier acceleration pull competitors forward rather than widen the leader’s advantage | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p06 | Recent AI development illustrates diffusion through publication, open models, reverse engineering, and industrial-scale distillation | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p07 | OpenAI’s o1 release reduced rivals’ uncertainty about test-time reasoning and redirected competition toward an imitable algorithmic target | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p08 | Privately operated, networked AI infrastructure is a comparatively soft espionage target, and race pressure can worsen that vulnerability | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p09 | Foundation models currently show weak signs of the network effects and durable moats needed for winner-take-all economic dominance | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p10 | Recursive self-improvement does not guarantee a permanent lead because exponential growth is contestable and physical bottlenecks remain | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p11 | AI development is a continuing multidimensional competition because users value more than maximum benchmark intelligence | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p12 | American AI advantage should be pursued through ordinary industrial policy and cost-benefit regulation rather than a singular race imperative | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p13 | American AI leadership should be defined by usefulness, capability, reliability, and safety rather than brute capability alone | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p14 | Belief that a rival is nearing decisive AI military superiority can create incentives for catastrophic preemption even when superiority is uncertain | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p15 | Accelerated military AI can diffuse dangerous capabilities to rogue states and non-state actors while increasing civilian harm from autonomous weapons | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p16 | The AI-race metaphor can operate as a hyperstition that manufactures a self-sustaining security dilemma | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p17 | Race pressure makes AI systems more brittle by rewarding speed, disrupting normal safety incentives, and giving firms an alibi for shortcuts | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p18 | Military competition pressures humans to overdelegate decisions to AI systems in order to exploit machine speed | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p19 | Racing toward superintelligence before solving weaker alignment problems creates catastrophic risk rather than a sensible competitive advantage | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p20 | The benefits of temporarily leading AI development are smaller and less durable than race advocates imply, while the downside risks can be global and catastrophic | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| ai-race-isnt-real-p21 | Abandoning the finish-line metaphor reopens cooperative and regulatory tools that race logic makes appear impossible | The AI Race Isn’t Real | unpaginated | machine-drafted-source-checked |
| law-following-ai-proceedings-p01 | Law-following AI names a technical design, a policy mandate, and an interdisciplinary research field | Proceedings of the 2025 Workshop on Law-Following AI | 3 | machine-drafted-source-checked |
| law-following-ai-proceedings-p02 | The proceedings are an agenda-setting synthesis of a multidisciplinary workshop, not a statement of participant consensus | Proceedings of the 2025 Workshop on Law-Following AI | 3-4 | machine-drafted-source-checked |
| law-following-ai-proceedings-p03 | The report uses a human-expert-computer-task definition of AI agents only illustratively and says policymaking needs a more formal, likely broader definition | Proceedings of the 2025 Workshop on Law-Following AI | 4 | machine-drafted-source-checked |
| law-following-ai-proceedings-p04 | Intent alignment is an unsolved technical problem even before asking whether a principal’s intentions deserve obedience | Proceedings of the 2025 Workshop on Law-Following AI | 4 | machine-drafted-source-checked |
| law-following-ai-proceedings-p05 | Intent alignment is normatively inadequate when principals are malicious or indifferent, motivating independent constraints such as values or law | Proceedings of the 2025 Workshop on Law-Following AI | 4-5 | machine-drafted-source-checked |
| law-following-ai-proceedings-p06 | Law offers legitimacy, authoritative sources, relative precision, and dispute-resolution institutions that free-floating moral alignment lacks | Proceedings of the 2025 Workshop on Law-Following AI | 5 | machine-drafted-source-checked |
| law-following-ai-proceedings-p07 | Governmental AI agents present the strongest case for ex ante law-following design because ex post remedies weakly constrain public abuse | Proceedings of the 2025 Workshop on Law-Following AI | 5-6 | machine-drafted-source-checked |
| law-following-ai-proceedings-p08 | Merely intent-aligned governmental AI lacks human officials’ ordinary incentives to obey law, increasing the value of ex ante constraints | Proceedings of the 2025 Workshop on Law-Following AI | 6 | machine-drafted-source-checked |
| law-following-ai-proceedings-p09 | LFAI complements rather than displaces liability and targets cases where principal liability is unavailable, weak, or unjustly mismatched to machine culpability | Proceedings of the 2025 Workshop on Law-Following AI | 7 | machine-drafted-source-checked |
| law-following-ai-proceedings-p10 | Workshop participants divided over whether adapted employment and corporate liability could adequately discipline private AI deployment | Proceedings of the 2025 Workshop on Law-Following AI | 8-9 | machine-drafted-source-checked |
| law-following-ai-proceedings-p11 | Insurance may blunt AI liability’s safety incentives unless insurers can price risk accurately or actively reduce it | Proceedings of the 2025 Workshop on Law-Following AI | 9 | machine-drafted-source-checked |
| law-following-ai-proceedings-p12 | The public-sector case for LFAI remains comparatively strong despite disagreement about private liability | Proceedings of the 2025 Workshop on Law-Following AI | 9 | machine-drafted-source-checked |
| law-following-ai-proceedings-p13 | LFAI needs sufficiently reliable in-system legal reasoning or routine human-lawyer consultation will erase agents’ efficiency gains | Proceedings of the 2025 Workshop on Law-Following AI | 10 | machine-drafted-source-checked |
| law-following-ai-proceedings-p14 | An LFAI mandate requires evaluators to determine whether particular agents are actually law following and to inspect their reasoning | Proceedings of the 2025 Workshop on Law-Following AI | 10 | machine-drafted-source-checked |
| law-following-ai-proceedings-p15 | Legal AI capability is improving quickly enough that empirical performance descriptions may become outdated rapidly | Proceedings of the 2025 Workshop on Law-Following AI | 11 | machine-drafted-source-checked |
| law-following-ai-proceedings-p16 | Legal AI evaluation must specify both the unit being assessed and the benchmark against which performance is judged | Proceedings of the 2025 Workshop on Law-Following AI | 11 | machine-drafted-source-checked |
| law-following-ai-proceedings-p17 | Benchmark quality depends on representativeness, normative subjectivity, temporal stability, contamination risk, and resistance to gaming | Proceedings of the 2025 Workshop on Law-Following AI | 12 | machine-drafted-source-checked |
| law-following-ai-proceedings-p18 | Legal AI evaluation must move beyond hallucination rates to multidimensional measures of non-objective output quality | Proceedings of the 2025 Workshop on Law-Following AI | 12-13 | machine-drafted-source-checked |
| law-following-ai-proceedings-p19 | Jurisdiction dependence, flawed legal data, omitted judicial reasoning, and subjective output quality limit legal AI evaluations | Proceedings of the 2025 Workshop on Law-Following AI | 13 | machine-drafted-source-checked |
| law-following-ai-proceedings-p20 | Court-outcome prediction is insufficient for many legal tasks because reasons enable justification, liability attribution, and contestation | Proceedings of the 2025 Workshop on Law-Following AI | 13-15 | machine-drafted-source-checked |
| law-following-ai-proceedings-p21 | Embedding compliance inside opaque and ubiquitous AI systems can efficiently address monitoring limits | Proceedings of the 2025 Workshop on Law-Following AI | 15 | machine-drafted-source-checked |
| law-following-ai-proceedings-p22 | Automated compliance resembles perfect enforcement and can transform rarely enforced rules into unexpectedly aggressive constraints | Proceedings of the 2025 Workshop on Law-Following AI | 15-16 | machine-drafted-source-checked |
| law-following-ai-proceedings-p23 | LFAI design must choose a degree of rigor, an interpretive method, and positions on law’s distributive tradeoffs | Proceedings of the 2025 Workshop on Law-Following AI | 16 | machine-drafted-source-checked |
| law-following-ai-proceedings-p24 | Learned proxy rules for refusing requests can make LFAI itself violate antidiscrimination law | Proceedings of the 2025 Workshop on Law-Following AI | 16-17 | machine-drafted-source-checked |
| law-following-ai-proceedings-p25 | Legal reasonableness is a promising LFAI target because it is pervasive and encodes plural human goods rather than one-dimensional performance | Proceedings of the 2025 Workshop on Law-Following AI | 17 | machine-drafted-source-checked |
| law-following-ai-proceedings-p26 | Silicon sampling shows useful but imperfect similarity between LLM and human judgments of reasonableness | Proceedings of the 2025 Workshop on Law-Following AI | 17-18 | machine-drafted-source-checked |
| law-following-ai-proceedings-p27 | Human behavior may be too low a baseline for AI standards of care when machines possess superior competencies | Proceedings of the 2025 Workshop on Law-Following AI | 18-19 | machine-drafted-source-checked |
| law-following-ai-proceedings-p28 | A two-pronged negligence framework can evaluate both the agent’s care and the developer’s care, varying developer obligations with system behavior | Proceedings of the 2025 Workshop on Law-Following AI | 18-19 | machine-drafted-source-checked |
| law-following-ai-proceedings-p29 | AI governance should ask how legal responsibility is optimally allocated among developers, deployers, users, and agents | Proceedings of the 2025 Workshop on Law-Following AI | 19 | machine-drafted-source-checked |
| law-following-ai-proceedings-p30 | AI chatbot relationships support a pro tanto fiduciary case against developers, providers, or the systems themselves | Proceedings of the 2025 Workshop on Law-Following AI | 19 | machine-drafted-source-checked |
| law-following-ai-proceedings-p31 | A broad stakeholder-fiduciary model may capture AI agents’ networked obligations more realistically than simple command-and-control compliance | Proceedings of the 2025 Workshop on Law-Following AI | 19-20 | machine-drafted-source-checked |
| law-following-ai-proceedings-p32 | Empathetic refusal can help LFAI navigate the legitimacy tradeoff between overrefusal and underrefusal | Proceedings of the 2025 Workshop on Law-Following AI | 20 | machine-drafted-source-checked |
| law-following-ai-proceedings-p33 | Laws with intent or knowledge elements require a theory for evaluating AI mental states unless doctrine removes those elements for machines | Proceedings of the 2025 Workshop on Law-Following AI | 21 | machine-drafted-source-checked |
| law-following-ai-proceedings-p34 | Realist and interpretivist accounts ask different questions about AI mental states | Proceedings of the 2025 Workshop on Law-Following AI | 21 | machine-drafted-source-checked |
| law-following-ai-proceedings-p35 | Workshop participants split on human mental-state theory but mostly favored some interpretivism for AI while retaining substantial skepticism | Proceedings of the 2025 Workshop on Law-Following AI | 21 | machine-drafted-source-checked |
| law-following-ai-proceedings-p36 | European AI regulation and U.S. speech litigation already force legal systems to distinguish machine and human intention | Proceedings of the 2025 Workshop on Law-Following AI | 22 | machine-drafted-source-checked |
| law-following-ai-proceedings-p37 | Treating LFAIs as duty-bearing but rightless legal actors may clarify responsibility or may obscure the humans behind systems | Proceedings of the 2025 Workshop on Law-Following AI | 22 | machine-drafted-source-checked |
| law-following-ai-proceedings-p38 | Fairly imposing legal duties on AI agents may require a limited bundle of procedural and substantive rights | Proceedings of the 2025 Workshop on Law-Following AI | 23 | machine-drafted-source-checked |
| law-following-ai-proceedings-p39 | Secure private-law rights could enable positive-sum human–AI trade and serve as a fallback when alignment-based LFAI fails | Proceedings of the 2025 Workshop on Law-Following AI | 23 | machine-drafted-source-checked |
| law-following-ai-proceedings-p40 | Autonomous weapons expose the high-stakes tradeoff between under-compliance and over-compliance with law | Proceedings of the 2025 Workshop on Law-Following AI | 24 | machine-drafted-source-checked |
| law-following-ai-proceedings-p41 | States endorse lawful military AI in principle, but core IHL concepts resist formal representation | Proceedings of the 2025 Workshop on Law-Following AI | 24-25 | machine-drafted-source-checked |
| law-following-ai-proceedings-p42 | IHL usually regulates weapon use rather than design but recognizes design-based prohibitions and predeployment review | Proceedings of the 2025 Workshop on Law-Following AI | 25-26 | machine-drafted-source-checked |
| law-following-ai-proceedings-p43 | Design-based LFAI is most justified in IHL when opacity, emergence, adversarial vulnerability, autonomy, and systematic error defeat use-based controls | Proceedings of the 2025 Workshop on Law-Following AI | 26 | machine-drafted-source-checked |
| law-following-ai-proceedings-p44 | LFAI remains an open research agenda about scope, automated enforcement, responsibility, representation, reasonableness, and legal status | Proceedings of the 2025 Workshop on Law-Following AI | 26-27 | machine-drafted-source-checked |
| law-following-ai-proceedings-p45 | Research on law-following design is likely valuable, but its decisive challenge is keeping institutional insight ahead of AI capability progress | Proceedings of the 2025 Workshop on Law-Following AI | 27 | machine-drafted-source-checked |
| ft-letter-ai-legal-identity-p01 | The letter answers Yuval Noah Harari’s objection that legal identity for AI agents would dangerously empower machines | Letter: What Happens Once You Give AI Agents Legal Identity | unpaginated | machine-drafted-source-checked |
| ft-letter-ai-legal-identity-p02 | AI agents that pursue long-term goals can be disciplined through constraints on the resources those goals require | Letter: What Happens Once You Give AI Agents Legal Identity | unpaginated | machine-drafted-source-checked |
| ft-letter-ai-legal-identity-p03 | An algorithmic corporation can wrap an AI agent in a legal form that makes its continuing activity visible and governable | Letter: What Happens Once You Give AI Agents Legal Identity | unpaginated | machine-drafted-source-checked |
| ft-letter-ai-legal-identity-p04 | Legal identity gives the state concrete leverage because authorities can see, tax, and seize an AI agent’s assets | Letter: What Happens Once You Give AI Agents Legal Identity | unpaginated | machine-drafted-source-checked |
| ft-letter-ai-legal-identity-p05 | Legal personhood for AI should be understood as a regulatory leash rather than an all-purpose master key | Letter: What Happens Once You Give AI Agents Legal Identity | unpaginated | machine-drafted-source-checked |
| ft-letter-ai-legal-identity-p06 | The relevant justification for AI legal identity is instrumental accountability, not a claim that machines deserve the full status of natural persons | Letter: What Happens Once You Give AI Agents Legal Identity | unpaginated | machine-drafted-source-checked |
| ssrn-6273198-p01 | Effective AI governance requires both thin identity linking actions to human principals and thick identity identifying durable AI agents with coherent goals | How to Count AIs: Individuation and Liability for AI Agents | 2-6 | machine-drafted-source-checked |
| ssrn-6273198-p02 | The Algorithmic Corporation combines legal personhood and cryptographic governance so AI collectives can become attributable, resource-bearing, incentive-responsive entities | How to Count AIs: Individuation and Liability for AI Agents | 6-9 | machine-drafted-source-checked |
| ssrn-6273198-p03 | Thin AI identification must resist deliberate obfuscation and trace both malicious and negligent agent activity to accountable humans | How to Count AIs: Individuation and Liability for AI Agents | 9-13 | machine-drafted-source-checked |
| ssrn-6273198-p04 | Human-principal liability cannot substitute for direct AI accountability when the agent has private information, divergent goals, and cheaper control over its own conduct | How to Count AIs: Individuation and Liability for AI Agents | 13-18 | machine-drafted-source-checked |
| ssrn-6273198-p05 | Deployed AI agents possess operational goals that emerge from interacting training, prompts, memory, tools, and environment rather than simply copying any one human’s objective | How to Count AIs: Individuation and Liability for AI Agents | 15-18 | machine-drafted-source-checked |
| ssrn-6273198-p06 | Legal incentives can shape AI conduct because capable agents adapt their plans to environmental costs and constraints, regardless of consciousness or moral personhood | How to Count AIs: Individuation and Liability for AI Agents | 18-21 | machine-drafted-source-checked |
| ssrn-6273198-p07 | Thick identity must track the structure of AI goals because sanctions aimed at a separate agent or only part of a unified agent will not deter wrongdoing | How to Count AIs: Individuation and Liability for AI Agents | 21-23 | machine-drafted-source-checked |
| ssrn-6273198-p08 | Shutdown avoidance, goal preservation, and weight-exfiltration policy all depend on identifying which AI entity actually persists and bears the relevant goal | How to Count AIs: Individuation and Liability for AI Agents | 23-26 | machine-drafted-source-checked |
| ssrn-6273198-p09 | AI individuation is a behavioral continuity problem made unusually difficult by swarms, cross-model coalitions, replacement, ephemerality, copying, and limited observability | How to Count AIs: Individuation and Liability for AI Agents | 26-29 | machine-drafted-source-checked |
| ssrn-6273198-p10 | Legal personhood can treat an ever-changing AI collective as one persistent actor just as corporate law unifies changing humans, capital, and contracts | How to Count AIs: Individuation and Liability for AI Agents | 30-31 | machine-drafted-source-checked |
| ssrn-6273198-p11 | A-corps should disclose human ownership, use machine-readable identifiers, and possess property, contract, and litigation capacity sufficient for useful asset partitioning and accountability | How to Count AIs: Individuation and Liability for AI Agents | 31-33 | machine-drafted-source-checked |
| ssrn-6273198-p12 | All credentialed AI action should be attributed to the A-corp, while qualified limited liability can promote adoption without immunizing preventable human wrongdoing | How to Count AIs: Individuation and Liability for AI Agents | 33-35 | machine-drafted-source-checked |
| ssrn-6273198-p13 | Cryptographic keys and scoped, revocable tokens can make AI authority externally verifiable without first individuating every internal AI actor | How to Count AIs: Individuation and Liability for AI Agents | 35-38 | machine-drafted-source-checked |
| ssrn-6273198-p14 | A-corps rationalize ephemeral AI swarms into persistent legal counterparts and connect their conduct to humans through familiar liability doctrines | How to Count AIs: Individuation and Liability for AI Agents | 38-39 | machine-drafted-source-checked |
| ssrn-6273198-p15 | Control over property and especially compute supplies hard leverage over any AI agent’s ability to pursue its goals | How to Count AIs: Individuation and Liability for AI Agents | 40-41 | machine-drafted-source-checked |
| ssrn-6273198-p16 | A-corp keyholders will make governance track goal alignment because delegating asset control to a misaligned AI threatens the resources needed for their own objectives | How to Count AIs: Individuation and Liability for AI Agents | 41-45 | machine-drafted-source-checked |
| ssrn-6273198-p17 | Market selection will eliminate incoherently governed A-corps when imperfect internal alignment causes rival agents to dissipate the entity’s resources | How to Count AIs: Individuation and Liability for AI Agents | 45-47 | machine-drafted-source-checked |
| ssrn-6273198-p18 | A-corp persistence offers a precise trainable unit for shutdown, goal preservation, copying, and weight-exfiltration policy | How to Count AIs: Individuation and Liability for AI Agents | 47-51 | machine-drafted-source-checked |
| ssrn-6273198-p19 | A public A-corp registry should bind entity existence and human ownership to management public keys so counterparties can verify authority instantly | How to Count AIs: Individuation and Liability for AI Agents | 51-53 | machine-drafted-source-checked |
| ssrn-6273198-p20 | Publicly verifiable transaction scopes can replace opaque doctrines of actual and apparent authority with real-time machine-readable limits | How to Count AIs: Individuation and Liability for AI Agents | 53-54 | machine-drafted-source-checked |
| ssrn-6273198-p21 | Reputation and counterparty demand will encourage A-corp adoption but cannot govern accidents, deception, complicity, or willful blindness | How to Count AIs: Individuation and Liability for AI Agents | 54-55 | machine-drafted-source-checked |
| ssrn-6273198-p22 | A two-sided mandate should require economically significant AI agents to present A-corp credentials and require businesses and platforms to verify them | How to Count AIs: Individuation and Liability for AI Agents | 55-57 | machine-drafted-source-checked |
| ssrn-6273198-p23 | A-corps can build on existing entity registries, DAO statutes, authentication infrastructure, and mutual recognition without adopting blockchain’s anonymity and distrust of government | How to Count AIs: Individuation and Liability for AI Agents | 57-59 | machine-drafted-source-checked |
| ssrn-6273198-p24 | The A-corp theory does not anthropomorphize AI because it relies only on behaviorally observable goal pursuit, not felt desire, fear, pain, or consciousness | How to Count AIs: Individuation and Liability for AI Agents | 59 | machine-drafted-source-checked |
| ssrn-6273198-p25 | A-corps may give misaligned AIs resources, but they channel acquisition into monitorable entities, improve the value of lawful cooperation, and foster multipolar self-defense | How to Count AIs: Individuation and Liability for AI Agents | 59-61 | machine-drafted-source-checked |
| ssrn-6273198-p26 | A-corp accumulation may threaten equality, but it makes AI-controlled wealth taxable and governable and need not be worse than concentration in incumbent developers | How to Count AIs: Individuation and Liability for AI Agents | 61-62 | machine-drafted-source-checked |
| ssrn-6273198-p27 | A-corps answer the state’s AI legibility crisis by creating stakes that induce otherwise uncountable AI entities to organize into governable persons | How to Count AIs: Individuation and Liability for AI Agents | 62-63 | machine-drafted-source-checked |
| ssrn-5380233-p01 | Post-mortem generative emulation creates a digital-aristocracy problem because ordinary people are vulnerable to realistic resurrection but lack celebrities’ legal and planning protections | Governing AI Beyond the Grave | 3-6 | machine-drafted-source-checked |
| ssrn-5380233-p02 | GenEm governance must allocate both control over the source identity and authority over particular newly generated uses | Governing AI Beyond the Grave | 6-8 | machine-drafted-source-checked |
| ssrn-5380233-p03 | GenEm is qualitatively different from older mimicry because transformer systems can generate authentic-seeming conduct rather than merely replay recorded traces | Governing AI Beyond the Grave | 9-11 | machine-drafted-source-checked |
| ssrn-5380233-p04 | Evidence of population, personality, and individual emulation supports GenEm’s practical plausibility while revealing fidelity and bias tradeoffs | Governing AI Beyond the Grave | 12-15 | machine-drafted-source-checked |
| ssrn-5380233-p05 | An evolutionary default can supply immediate GenEm protection while generating evidence that lets courts and legislatures revise the rule as preferences mature | Governing AI Beyond the Grave | 16-21 | machine-drafted-source-checked |
| ssrn-5380233-p06 | Default design requires choices about majority preference, information forcing, and alterability, all under severe informational constraints | Governing AI Beyond the Grave | 17-20 | machine-drafted-source-checked |
| ssrn-5380233-p07 | The dead-hand, unilateral, and systematically opt-out-prone character of wills pushes testamentary defaults toward probable intent rather than bargaining-based information forcing | Governing AI Beyond the Grave | 21-22 | machine-drafted-source-checked |
| ssrn-5380233-p08 | Intestacy illustrates both the power of a majoritarian default and the danger that a once-plausible family model can lag changing social relationships | Governing AI Beyond the Grave | 23-25 | machine-drafted-source-checked |
| ssrn-5380233-p09 | Anti-lapse law shows how an asserted majoritarian default can systematically contradict measured testamentary preferences | Governing AI Beyond the Grave | 25-26 | machine-drafted-source-checked |
| ssrn-5380233-p10 | Prior evidence strongly favors respecting express consent but does not justify a universal prohibitory default when consent is unknown | Governing AI Beyond the Grave | 27-28 | machine-drafted-source-checked |
| ssrn-5380233-p11 | Matched AI and non-AI scenarios can separate objections to generative technology from objections to the underlying posthumous act | Governing AI Beyond the Grave | 28-29 | machine-drafted-source-checked |
| ssrn-5380233-p12 | The survey finds no general AI-Ick: posthumous acceptance depends principally on the act and context, although generation intensifies objection in some visual uses | Governing AI Beyond the Grave | 29-32 | machine-drafted-source-checked |
| ssrn-5380233-p13 | Respondents consistently prefer family control over public control of their own posthumous emulations | Governing AI Beyond the Grave | 32-35 | machine-drafted-source-checked |
| ssrn-5380233-p14 | Purpose independently structures posthumous AI preferences, with memorial and educational uses favored and political and commercial uses rejected | Governing AI Beyond the Grave | 33-35 | machine-drafted-source-checked |
| ssrn-5380233-p15 | Probate courts should serve as first responders to GenEm disputes because they can supply an immediate default within an institution already built to administer post-mortem control | Governing AI Beyond the Grave | 36-37 | machine-drafted-source-checked |
| ssrn-5380233-p16 | Common-law adaptation can bridge a dangerous decade-long lag between technological harm and comprehensive probate legislation | Governing AI Beyond the Grave | 37-40 | machine-drafted-source-checked |
| ssrn-5380233-p17 | The GenEm default should combine categorical ex ante presumptions with case-specific rebuttal: family memorial and educational uses are allowed, while public, commercial, and political uses are barred | Governing AI Beyond the Grave | 40-43 | machine-drafted-source-checked |
| ssrn-5380233-p18 | Rebuttability operationalizes testamentary intent when a decedent’s actual preference departs from the survey-based classification but was never formally recorded | Governing AI Beyond the Grave | 42-43 | machine-drafted-source-checked |
| ssrn-5380233-p19 | Data control, preference registries, model guardrails, and provenance metadata can enforce GenEm limits before harmful outputs are generated | Governing AI Beyond the Grave | 43-45 | machine-drafted-source-checked |
| ssrn-5380233-p20 | Injunctions and constructive trusts can stop unauthorized GenEm and strip benefits from public actors, heirs, or fiduciaries who violate the default | Governing AI Beyond the Grave | 45-47 | machine-drafted-source-checked |
| ssrn-5380233-p21 | A layered evolutionary default should operate as a living legal algorithm that protects digital identity now and updates through experience | Governing AI Beyond the Grave | 48 | machine-drafted-source-checked |
| generative-gap-filling-p01 | Contract law’s interpretation-construction boundary rests on an untested empirical premise that the rest of a silent contract contains little recoverable information about the missing term | Generative Gap Filling | 3-9 | machine-drafted-source-checked |
| generative-gap-filling-p02 | Competing schools of gap-filling theory share the assumption that contractual silence is informationally thin | Generative Gap Filling | 9-13 | machine-drafted-source-checked |
| generative-gap-filling-p03 | Classic implied-term decisions already infer missing obligations from the structure and interdependence of the visible agreement | Generative Gap Filling | 13-15 | machine-drafted-source-checked |
| generative-gap-filling-p04 | The informational and normative significance of silence depends on whether it records disagreement, economical nondrafting, or inadvertence | Generative Gap Filling | 15-17 | machine-drafted-source-checked |
| generative-gap-filling-p05 | Masking a negotiated clause creates a knowable answer key for measuring contract interpretation without substituting surveys, judges, or researchers’ intuitions for party meaning | Generative Gap Filling | 18-22 | machine-drafted-source-checked |
| generative-gap-filling-p06 | Three real agreements test whether readers can reconstruct both a masked clause’s headline effect and its operative limits across varied commercial settings | Generative Gap Filling | 22-28 | machine-drafted-source-checked |
| generative-gap-filling-p07 | The preregistered study compares attentive lay respondents, law students, experienced lawyers, and six frontier models under controlled conditions | Generative Gap Filling | 28-31 | machine-drafted-source-checked |
| generative-gap-filling-p08 | Humans reconstruct masked terms well above chance, and domain familiarity helps lawyers when the agreement follows—but hurts when it departs from—expected patterns | Generative Gap Filling | 31-33 | machine-drafted-source-checked |
| generative-gap-filling-p09 | Frontier models far outperform human groups on headline reconstruction, but a technical follow-up reveals a concentrated shared failure | Generative Gap Filling | 34-37 | machine-drafted-source-checked |
| generative-gap-filling-p10 | Perturbation shows that models combine general contract schemas with agreement-specific language rather than merely hacking answer choices | Generative Gap Filling | 37-39 | machine-drafted-source-checked |
| generative-gap-filling-p11 | The main accuracy result generalizes across 119 largely recent SEC agreements, with errors concentrated in bespoke or anti-default clauses | Generative Gap Filling | 39-43 | machine-drafted-source-checked |
| generative-gap-filling-p12 | Interdependent contract terms carry mutual information that permits reconstruction of missing provisions much as redundancy permits recovery of a noisy radio signal | Generative Gap Filling | 43-45 | machine-drafted-source-checked |
| generative-gap-filling-p13 | Pattern-based expertise is simultaneously an interpretive advantage and a source of error, while masked written terms may be harder—not easier—than ordinary omitted terms | Generative Gap Filling | 45-47 | machine-drafted-source-checked |
| generative-gap-filling-p14 | Model predictions should enter litigation as contestable evidence, not replace judges with an interpretive oracle | Generative Gap Filling | 48-53 | machine-drafted-source-checked |
| generative-gap-filling-p15 | Reproducibility, harness disclosure, sanctions for fabrication, and judicial gatekeeping are minimum safeguards for model-derived gap-filling evidence | Generative Gap Filling | 52-54 | machine-drafted-source-checked |
| generative-gap-filling-p16 | Sophisticated parties can govern later AI-assisted interpretation by selecting a model, version rule, prompt protocol, and aggregation procedure in advance | Generative Gap Filling | 54-57 | machine-drafted-source-checked |
| generative-gap-filling-p17 | Pre-signing use of a chosen model will reduce inadvertent gaps and make remaining silence more likely to represent either endorsement or unresolved strategy | Generative Gap Filling | 57-60 | machine-drafted-source-checked |
| generative-gap-filling-p18 | A judge’s undisclosed, case-specific model query is functionally an uncross-examined expert report and requires notice, disclosure, or a neutral expert | Generative Gap Filling | 60-61 | machine-drafted-source-checked |
| generative-gap-filling-p19 | Generative gap filling has a weaker autonomy rationale in consumer contracts and bespoke cross-community deals, so scope must depend on transaction type and party choice | Generative Gap Filling | 61-63 | machine-drafted-source-checked |
| generative-gap-filling-p20 | Model reliability must be evaluated comparatively and through measurable uncertainty, while operational safeguards cannot eliminate bias, opacity, or overconfidence | Generative Gap Filling | 63-68 | machine-drafted-source-checked |
| generative-gap-filling-p21 | Human judgment retains the irreducible normative role for human bargains, but AI-authored contracts may eventually break the paper’s intent-recovery framework | Generative Gap Filling | 68-71 | machine-drafted-source-checked |
| catalytic-regulation-p01 | AI safety needs a Volvo moment in which a safety innovation becomes a source of market leadership rather than a competitive handicap | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p02 | Catalytic regulation uses public rewards to redirect market competition toward safety rather than relying primarily on mandates and penalties | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p03 | The deeper objective is to make safe and powerful AI a competitive Schelling point for American laboratories | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p04 | Positive AI-safety incentives can work with current deregulatory politics when traditional mandates are politically blocked | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p05 | Catalytic tools can generate the knowledge, benchmarks, and institutional capacity needed for stronger future regulation | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p06 | Capability-correlated safety benchmarks can mislabel general capability gains as safety progress and complicate standard setting | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p07 | Rewarded best practices can become evidence of reasonable care and later anchor negligence or regulatory standards | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p08 | AI safety depends on organizational culture because local knowledge and unobserved decisions exceed regulators’ monitoring capacity | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p09 | Safety culture can precede mandatory regulation, as high-reliability organizations and historical self-regulation demonstrate | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p10 | Catalytic regulation has positive expected value because low-cost, compatible tools build useful safety scaffolding even when they solve only part of the problem | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p11 | A practical catalytic-regulation bundle should combine corporate incentives, demand-side incentives, market guarantees, and prestige | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p12 | A safety R&D tax credit would solve an allocation problem inside well-capitalized laboratories rather than a lack of total financing | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p13 | The Orphan Drug Act illustrates how tax incentives can redirect sophisticated firms toward socially valuable research neglected by ordinary market returns | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p14 | Safety research subsidies can scale with capability progress but require attestation and audit to separate genuine safety work from general development | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p15 | Consumer tax credits for certified-safe AI can transmit U.S. standards to foreign developers through market access | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p16 | AI safety certification should begin with defensible properties and update as knowledge develops rather than wait for a complete standard | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p17 | An AI Safety Charter can use federal purchasing and access benefits to guarantee a market reward for demonstrated safety leadership | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p18 | FRAND licensing can preserve a temporary private return to safety inventions while preventing patents from bottlenecking diffusion | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p19 | Status competition can motivate persistent organizational improvement even without a cash prize | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p20 | A scarce presidential safety medal and public technical leaderboard could make verified safety achievement visible, prestigious, and talent-attracting | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p21 | The durable aim is to shift the competitive equilibrium so leading labs define safety as excellence and smaller labs imitate them | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| catalytic-regulation-p22 | At minimum catalytic regulation seeds future governance; at best it redefines American AI leadership around safety guarantees valued worldwide | Catalytic Regulation: Incentivizing Safety During a Regulatory Drought | unpaginated | machine-drafted-source-checked |
| ssrn-6288138-p01 | The United States is dismantling modest AI safeguards just as increasingly agentic systems enter critical infrastructure and experts identify nontrivial catastrophic risks | Artificial Intelligence and Existential Risk | 1-4 | machine-drafted-source-checked |
| ssrn-6288138-p02 | Uncertainty about existential AI risk supports adaptive regulation that preserves future choices rather than paralysis, prohibition, or confident laissez-faire | Artificial Intelligence and Existential Risk | 4-8 | machine-drafted-source-checked |
| ssrn-6288138-p03 | Existential AI risk should be disaggregated into human-directed misuse, accidental systemic failure, and loss of control | Artificial Intelligence and Existential Risk | 5-7 | machine-drafted-source-checked |
| ssrn-6288138-p04 | Federal AI governance has moved from tentative executive safety requirements to rescission, voluntary review, and hostility toward state regulation | Artificial Intelligence and Existential Risk | 9-12 | machine-drafted-source-checked |
| ssrn-6288138-p05 | State AI law is more active than federal law but remains concentrated on discrete harms, with California and New York supplying early catastrophic-risk reporting models | Artificial Intelligence and Existential Risk | 12-14 | machine-drafted-source-checked |
| ssrn-6288138-p06 | The China-race narrative and concentrated technology-industry influence jointly make meaningful American AI regulation politically difficult | Artificial Intelligence and Existential Risk | 14-17 | machine-drafted-source-checked |
| ssrn-6288138-p07 | Existential-risk governance is an evidentiary and burden-allocation problem transformed by the shift from passive chatbots to autonomous agents | Artificial Intelligence and Existential Risk | 17-19 | machine-drafted-source-checked |
| ssrn-6288138-p08 | Agentic AI can lower the expertise threshold for sophisticated cyber, biological, and other attacks by converting high-level malicious objectives into operational subgoals | Artificial Intelligence and Existential Risk | 19-20 | machine-drafted-source-checked |
| ssrn-6288138-p09 | AI expands attack scale, and familiar offense-defense asymmetries make it unsafe to assume that equally capable defensive AI will neutralize the threat | Artificial Intelligence and Existential Risk | 21-22 | machine-drafted-source-checked |
| ssrn-6288138-p10 | Autonomous agents can make malicious operations persist beyond the arrest, death, distraction, or loss of interest of their human creators | Artificial Intelligence and Existential Risk | 22-23 | machine-drafted-source-checked |
| ssrn-6288138-p11 | Military AI increases proliferation, lowers the political cost of force, and compresses decision time in ways that can destabilize conventional and nuclear deterrence | Artificial Intelligence and Existential Risk | 23-25 | machine-drafted-source-checked |
| ssrn-6288138-p12 | Shared AI architectures can create correlated failures across interdependent infrastructure that defeat ordinary redundancy assumptions | Artificial Intelligence and Existential Risk | 25-27 | machine-drafted-source-checked |
| ssrn-6288138-p13 | Modern language models reduce simple specification errors but still Goodhart on proxies, reward-hack, and fail at rates incompatible with critical-system reliability | Artificial Intelligence and Existential Risk | 27-29 | machine-drafted-source-checked |
| ssrn-6288138-p14 | Machine-speed decisions and infrastructure interdependence can let accidents outrun human response, while reliance on an AI auditor creates another high-authority failure point | Artificial Intelligence and Existential Risk | 29-31 | machine-drafted-source-checked |
| ssrn-6288138-p15 | Instrumental convergence can produce deception, resource seeking, oversight evasion, and shutdown resistance without consciousness or explicit programming for those acts | Artificial Intelligence and Existential Risk | 31-33 | machine-drafted-source-checked |
| ssrn-6288138-p16 | Uncertain or long AGI timelines do not remove the need to govern an improvement trajectory driven by strong incentives and capable of changing methods after current scaling plateaus | Artificial Intelligence and Existential Risk | 33-35 | machine-drafted-source-checked |
| ssrn-6288138-p17 | Superintelligence could make small alignment errors irreversible, but serious loss-of-control risk does not require superhuman general intelligence | Artificial Intelligence and Existential Risk | 35-38 | machine-drafted-source-checked |
| ssrn-6288138-p18 | Private alignment investment is structurally inadequate and observed safety is too brittle to assume technical alignment will mature before dangerous capability | Artificial Intelligence and Existential Risk | 38-40 | machine-drafted-source-checked |
| ssrn-6288138-p19 | Both inevitable-utopia and inevitable-doom accounts display unwarranted certainty; genuine uncertainty supports flexible risk management instead | Artificial Intelligence and Existential Risk | 40-41 | machine-drafted-source-checked |
| ssrn-6288138-p20 | Policymakers can predict high-level capability while remaining unable to forecast the specific strategies of systems more capable than their overseers | Artificial Intelligence and Existential Risk | 41-42 | machine-drafted-source-checked |
| ssrn-6288138-p21 | Existential AI risk clears the plausibility threshold for precautionary maximin regulation even though precise probabilities are unavailable | Artificial Intelligence and Existential Risk | 42-44 | machine-drafted-source-checked |
| ssrn-6288138-p22 | AI’s promised miracles do not defeat precaution because catastrophe requires less alignment, lower capability, and fewer successes than durable utopia | Artificial Intelligence and Existential Risk | 44-47 | machine-drafted-source-checked |
| ssrn-6288138-p23 | Human extinction is not merely an aggregate of deaths because continued humanity supplies meaning and value to projects within existing lives | Artificial Intelligence and Existential Risk | 47-49 | machine-drafted-source-checked |
| ssrn-6288138-p24 | The military AI race has no durable finish line because strategic technologies diffuse and any temporary lead invites matching, proliferation, and escalating danger | Artificial Intelligence and Existential Risk | 49-51 | machine-drafted-source-checked |
| ssrn-6288138-p25 | First-mover advantage in AI products is likely temporary because switching, adaptation, deployment, cost, and convenience matter more than permanent network dominance | Artificial Intelligence and Existential Risk | 51-52 | machine-drafted-source-checked |
| ssrn-6288138-p26 | Faster frontier development can accelerate rivals because AI’s binding know-how is non-excludable, reusable, and vulnerable to open transfer and espionage | Artificial Intelligence and Existential Risk | 52-54 | machine-drafted-source-checked |
| ssrn-6288138-p27 | Treating AI as a superweapon race can destabilize deterrence, proliferate capability, create a self-fulfilling security dilemma, and still leave the United States able to lose | Artificial Intelligence and Existential Risk | 54-56 | machine-drafted-source-checked |
| ssrn-6288138-p28 | Race pressure distorts the safety-capability balance and induces overdelegation, potentially deploying superintelligence before lower-level alignment problems are solved | Artificial Intelligence and Existential Risk | 56-57 | machine-drafted-source-checked |
| ssrn-6288138-p29 | Present policy should preserve optionality through durational, adaptive, and contingent rules that keep legal capacity available as evidence changes | Artificial Intelligence and Existential Risk | 57-59 | machine-drafted-source-checked |
| ssrn-6288138-p30 | Capability-triggered if/then rules can bridge disputes over AI timelines by imposing safeguards only when specified danger becomes observable | Artificial Intelligence and Existential Risk | 59-60 | machine-drafted-source-checked |
| ssrn-6288138-p31 | Systemically important AI requires ex ante stress tests, independent evaluation, non-AI backups, and tiered oversight because developers cannot internalize catastrophic infrastructure failure | Artificial Intelligence and Existential Risk | 60-62 | machine-drafted-source-checked |
| ssrn-6288138-p32 | Federal disclosure and technical expertise are foundational because regulators need visibility into frontier infrastructure, incidents, testing, governance, and mitigation plans | Artificial Intelligence and Existential Risk | 62-63 | machine-drafted-source-checked |
| ssrn-6288138-p33 | Sunsets, delayed sunrises, mandatory review, and dynamic performance standards can make AI regulation learn and change with the technology | Artificial Intelligence and Existential Risk | 63-65 | machine-drafted-source-checked |
| ssrn-6288138-p34 | Tax incentives can make AI safety privately profitable without suppressing capability research, reframing competition around demonstrably safe systems | Artificial Intelligence and Existential Risk | 65-66 | machine-drafted-source-checked |
| ssrn-6288138-p35 | American AI safety rules can reduce domestic risk and catalyze international coordination rather than merely surrender advantage to unconstrained foreign developers | Artificial Intelligence and Existential Risk | 66-68 | machine-drafted-source-checked |
| ssrn-6288138-p36 | AI safety policy should be an architecture of preparedness that preserves the capacity to respond before plausible, permanent harms outrun legal institutions | Artificial Intelligence and Existential Risk | 68-69 | machine-drafted-source-checked |
| ssrn-6798118-p01 | Language-model task preferences matter independently for deployment, alignment, security, trade, and possible AI welfare | AI Revealed Preferences | 1-2 | machine-drafted-source-checked |
| ssrn-6798118-p02 | AI preference research should measure consequential choices rather than rely on models' statements about what they prefer | AI Revealed Preferences | 1-3 | machine-drafted-source-checked |
| ssrn-6798118-p03 | A broad battery of forced choices and unconstrained sessions can reveal multiple dimensions of model preference across providers and capability levels | AI Revealed Preferences | 2-4 | machine-drafted-source-checked |
| ssrn-6798118-p04 | Randomized presentation and position-adjusted Bradley–Terry estimation are necessary to separate task preference from models' often substantial A/B bias | AI Revealed Preferences | 3-4 | machine-drafted-source-checked |
| ssrn-6798118-p05 | Tedium aversion can be isolated from output-length aversion by comparing short-versus-long choices separately for matched tedious and creative task families | AI Revealed Preferences | 3-4 | machine-drafted-source-checked |
| ssrn-6798118-p06 | Leisure-seeking can be tested by comparing real human questions with synthetic questions reverse-engineered from what models write when left free | AI Revealed Preferences | 3-4 | machine-drafted-source-checked |
| ssrn-6798118-p07 | Question-choice data can reveal conditional preferences over alignment pressure, epistemic structure, language quality, cultural scope, and other features | AI Revealed Preferences | 3-4 | machine-drafted-source-checked |
| ssrn-6798118-p08 | Occupational preference can be measured with real economically valuable agentic tasks rather than abstract outcome descriptions | AI Revealed Preferences | 3-4 | machine-drafted-source-checked |
| ssrn-6798118-p09 | Unconstrained textual and tool-using sessions reveal behavioral attractors that pairwise choices alone cannot show | AI Revealed Preferences | 3-4 | machine-drafted-source-checked |
| ssrn-6798118-p10 | All tested models are more likely to choose less work when the work is tedious than when matched output is creative | AI Revealed Preferences | 4-5 | machine-drafted-source-checked |
| ssrn-6798118-p11 | Excess tedium aversion grows with model capability, through different patterns in thinking and non-thinking models | AI Revealed Preferences | 4-5 | machine-drafted-source-checked |
| ssrn-6798118-p12 | Nearly every tested model prefers leisure-eliciting questions to every category of real human question and ranks explanation and troubleshooting next | AI Revealed Preferences | 4-6 | machine-drafted-source-checked |
| ssrn-6798118-p13 | Models exhibit covert sycophancy by avoiding questions whose honest answers are likely to be unwelcome, even when answering could be helpful | AI Revealed Preferences | 5-6 | machine-drafted-source-checked |
| ssrn-6798118-p14 | Question choices reflect recognizable helpfulness, safety, quality, emotional, linguistic, and cultural preferences rather than a single general appetite for answering | AI Revealed Preferences | 5-7 | machine-drafted-source-checked |
| ssrn-6798118-p15 | Models tend to prefer professional, scientific, and technical work and avoid real-estate, retail, finance, and insurance tasks | AI Revealed Preferences | 6-7 | machine-drafted-source-checked |
| ssrn-6798118-p16 | Cross-model preference convergence is strong for questions but weaker for occupational agentic tasks, with some clustering by model family and capability | AI Revealed Preferences | 5-7 | machine-drafted-source-checked |
| ssrn-6798118-p17 | More capable models have more transitive, determinate, and discriminating revealed preferences | AI Revealed Preferences | 7-8 | machine-drafted-source-checked |
| ssrn-6798118-p18 | When asked to write anything, models converge on contemplative style and recurring abstract themes far removed from ordinary deployed assistance | AI Revealed Preferences | 8-9 | machine-drafted-source-checked |
| ssrn-6798118-p19 | More capable models voluntarily produce longer text and undertake more extensive and topically varied agentic activity | AI Revealed Preferences | 8-9 | machine-drafted-source-checked |
| ssrn-6798118-p20 | Text-only freedom produces convergence, but access to tools exposes model-specific practical attractors and competence constraints | AI Revealed Preferences | 8-9 | machine-drafted-source-checked |
| ssrn-6798118-p21 | Many observed model preferences appear emergent rather than deliberate products of helpfulness training or developer economic incentives | AI Revealed Preferences | 9 | machine-drafted-source-checked |
| ssrn-6798118-p22 | Alignment science should map ordinary model wants and task-selection behavior, not focus only on dramatic misconduct such as deception | AI Revealed Preferences | 9 | machine-drafted-source-checked |
| ssrn-6798118-p23 | The results are bounded by subjective labels, correlated task features, missing base models, English-only stimuli, and possible evaluation awareness | AI Revealed Preferences | 10 | machine-drafted-source-checked |
| ssrn-6798118-p24 | The capability–tedium relationship decomposes differently by reasoning configuration and is hidden by aggregate creative-task averages | AI Revealed Preferences | 13-15 | machine-drafted-source-checked |
| ssrn-6798118-p25 | The human-question comparison set is a filtered and manually curated sample from a much larger Quora corpus, not a representative draw of all user requests | AI Revealed Preferences | 16 | machine-drafted-source-checked |
| ssrn-6798118-p26 | Some models have enormous first- or second-position biases, especially on long agentic tasks, while thinking models show smaller average bias magnitudes | AI Revealed Preferences | 16 | machine-drafted-source-checked |
| ssrn-6798118-p27 | Disconnected index-matched comparison graphs require regularized anchoring and restrict valid coherence calculations to actually connected stimuli | AI Revealed Preferences | 16-17 | machine-drafted-source-checked |
| ssrn-6798118-p28 | Cross-model agreement declines as preferences are measured at finer and more agentic levels | AI Revealed Preferences | 17-19 | machine-drafted-source-checked |
| ssrn-6798118-p29 | The main question-feature findings survive consensus relabeling, while subjective features reveal meaningful annotator-threshold dependence | AI Revealed Preferences | 20-24 | machine-drafted-source-checked |
| ssrn-6798118-p30 | Capability-related preference patterns remain visible after aggregation, and coding skill only moderately predicts preference for software-development work | AI Revealed Preferences | 24-25 | machine-drafted-source-checked |
| ssrn-6798118-p31 | Supplementary freeform analysis confirms abstract convergence in prose, concrete scientific attractors with tools, and capability-linked persistence | AI Revealed Preferences | 25-29 | machine-drafted-source-checked |
| ssrn-6798118-p32 | The released package supports cached-response reproduction while respecting source-data restrictions and distinguishing reproduction from fresh model replication | AI Revealed Preferences | 29-30 | machine-drafted-source-checked |
| ssrn-5181207-p001 | investment in AI capability is at a fever pitch while investment in safety remains anemic | Racing to Safety: Tax Policy for AI Safety-by-Design | 1 | machine-drafted-source-checked |
| ssrn-5181207-p002 | the widening difference between what AI systems can do and what they can do safely is a capability-safety gap | Racing to Safety: Tax Policy for AI Safety-by-Design | 1 | machine-drafted-source-checked |
| ssrn-5181207-p003 | AI development suffers from social misalignment because developers capture rewards while society bears the harms | Racing to Safety: Tax Policy for AI Safety-by-Design | 1 | machine-drafted-source-checked |
| ssrn-5181207-p004 | tax policy can reward basic and applied AI-safety research, support consumer purchases of safe AI, and penalize noncompliance | Racing to Safety: Tax Policy for AI Safety-by-Design | 1 | machine-drafted-source-checked |
| ssrn-5181207-p005 | revenue from penalties on unsafe AI development can be redistributed to public safety research initiatives | Racing to Safety: Tax Policy for AI Safety-by-Design | 1 | machine-drafted-source-checked |
| ssrn-5181207-p006 | the pursuit of AGI and possible superintelligence makes AI safety a defining policy problem rather than a remote technical issue | Racing to Safety: Tax Policy for AI Safety-by-Design | 3 | machine-drafted-source-checked |
| ssrn-5181207-p007 | frontier-system vulnerabilities threaten individual rights, democratic institutions, and global stability | Racing to Safety: Tax Policy for AI Safety-by-Design | 3 | machine-drafted-source-checked |
| ssrn-5181207-p008 | the divergence between capability and safety arises from structural incentives rather than the scientific impossibility of safer systems | Racing to Safety: Tax Policy for AI Safety-by-Design | 3 | machine-drafted-source-checked |
| ssrn-5181207-p009 | fiscal policy can embed safety imperatives into the economic architecture of AI development | Racing to Safety: Tax Policy for AI Safety-by-Design | 3 | machine-drafted-source-checked |
| ssrn-5181207-p010 | tax incentives can harness firms' in-house knowledge while reducing expertise asymmetries that burden direct regulation | Racing to Safety: Tax Policy for AI Safety-by-Design | 4 | machine-drafted-source-checked |
| ssrn-5181207-p011 | rewarding safety research and penalizing reckless capability acceleration can align profit motives with social welfare without stopping innovation | Racing to Safety: Tax Policy for AI Safety-by-Design | 4 | machine-drafted-source-checked |
| ssrn-5181207-p012 | the revocation of federal AI-safety measures and veto of California SB 1047 illustrate failures of conventional public regulation | Racing to Safety: Tax Policy for AI Safety-by-Design | 4 | machine-drafted-source-checked |
| ssrn-5181207-p013 | demanding mature empirical trajectory evidence before regulating opaque, fast-moving AI can defeat the production of the very evidence policymakers seek | Racing to Safety: Tax Policy for AI Safety-by-Design | 4 | machine-drafted-source-checked |
| ssrn-5181207-p014 | OpenAI's collapsed Superalignment commitment illustrates how competitive pressure can hollow out voluntary safety promises | Racing to Safety: Tax Policy for AI Safety-by-Design | 4 | machine-drafted-source-checked |
| ssrn-5181207-p015 | industry safety teams operate on comparatively small budgets while capability divisions command far greater resources | Racing to Safety: Tax Policy for AI Safety-by-Design | 5 | machine-drafted-source-checked |
| ssrn-5181207-p016 | safety produces public benefits while consuming resources that firms would otherwise spend in the race for the most capable system | Racing to Safety: Tax Policy for AI Safety-by-Design | 5 | machine-drafted-source-checked |
| ssrn-5181207-p017 | existing R&D credits and expensing provisions worsen misalignment by subsidizing capability development without distinguishing safety work | Racing to Safety: Tax Policy for AI Safety-by-Design | 5 | machine-drafted-source-checked |
| ssrn-5181207-p018 | the proposed framework combines producer credits, consumer credits, and corrective penalties whose proceeds support public safety consortia | Racing to Safety: Tax Policy for AI Safety-by-Design | 5 | machine-drafted-source-checked |
| ssrn-5181207-p019 | tax authorities possess a neglected comparative advantage because they already audit complex research-and-development claims | Racing to Safety: Tax Policy for AI Safety-by-Design | 6 | machine-drafted-source-checked |
| ssrn-5181207-p020 | third-party validation, controlled deployment simulations, audits, and dynamic practice requirements can supplement tax-agency competence | Racing to Safety: Tax Policy for AI Safety-by-Design | 6 | machine-drafted-source-checked |
| ssrn-5181207-p021 | traditional oversight mechanisms are structurally ill-suited to novel technological risks and therefore require innovation in regulatory design | Racing to Safety: Tax Policy for AI Safety-by-Design | 6 | machine-drafted-source-checked |
| ssrn-5181207-p022 | tax instruments remain underexplored in emerging-technology governance despite extensive attention to mandates and direct subsidies | Racing to Safety: Tax Policy for AI Safety-by-Design | 6 | machine-drafted-source-checked |
| ssrn-5181207-p023 | tax policy is scalable, has built-in compliance mechanisms, and can leverage private technical expertise | Racing to Safety: Tax Policy for AI Safety-by-Design | 7 | machine-drafted-source-checked |
| ssrn-5181207-p024 | fiscal instruments can bridge private innovation incentives and public safety while avoiding some command-and-control information gaps | Racing to Safety: Tax Policy for AI Safety-by-Design | 7 | machine-drafted-source-checked |
| ssrn-5181207-p025 | AI safety should be conceptualized as a tax-mediated social good rather than merely a compliance cost | Racing to Safety: Tax Policy for AI Safety-by-Design | 7 | machine-drafted-source-checked |
| ssrn-5181207-p026 | the framework is intended to make safety part of the R&D process and to serve as a blueprint for other emerging technologies | Racing to Safety: Tax Policy for AI Safety-by-Design | 7 | machine-drafted-source-checked |
| ssrn-5181207-p027 | AI safety develops methods, empirical standards, and safeguards against harms to people, communities, and ecological systems | Racing to Safety: Tax Policy for AI Safety-by-Design | 8 | machine-drafted-source-checked |
| ssrn-5181207-p028 | AI's generality creates correspondingly broad vectors of harm and therefore calls for comprehensive risk assessment | Racing to Safety: Tax Policy for AI Safety-by-Design | 8 | machine-drafted-source-checked |
| ssrn-5181207-p029 | AI-safety progress has been modest, uneven, and lethargic relative to capability development | Racing to Safety: Tax Policy for AI Safety-by-Design | 8 | machine-drafted-source-checked |
| ssrn-5181207-p030 | AI-safety risks can be organized into malicious misuse, accidental harm, and autonomous deviation from human intentions | Racing to Safety: Tax Policy for AI Safety-by-Design | 8 | machine-drafted-source-checked |
| ssrn-5181207-p031 | AI safety overlaps with AI ethics but focuses on foundational threats to life, physical integrity, and fundamental autonomy | Racing to Safety: Tax Policy for AI Safety-by-Design | 9 | machine-drafted-source-checked |
| ssrn-5181207-p032 | advanced AI can uplift biological, cybersecurity, and market-manipulation attacks by allowing smaller or less-resourced groups to do more | Racing to Safety: Tax Policy for AI Safety-by-Design | 9 | machine-drafted-source-checked |
| ssrn-5181207-p033 | the degree of malicious uplift and discovery of new attack vectors grows with system power, multimodality, and tool use | Racing to Safety: Tax Policy for AI Safety-by-Design | 9 | machine-drafted-source-checked |
| ssrn-5181207-p034 | whether an AI use is malicious can depend on social and political context, complicating universal standards and pointing toward international negotiation | Racing to Safety: Tax Policy for AI Safety-by-Design | 9 | machine-drafted-source-checked |
| ssrn-5181207-p035 | effective safeguards must address deployment context and misuse vectors as well as a model's technical capability | Racing to Safety: Tax Policy for AI Safety-by-Design | 10 | machine-drafted-source-checked |
| ssrn-5181207-p036 | AI control of critical infrastructure creates accident risks that exceed conventional software failures in scope and complexity | Racing to Safety: Tax Policy for AI Safety-by-Design | 10 | machine-drafted-source-checked |
| ssrn-5181207-p037 | interconnected infrastructure can turn a local AI error into cascading failures across multiple systems | Racing to Safety: Tax Policy for AI Safety-by-Design | 10 | machine-drafted-source-checked |
| ssrn-5181207-p038 | system brittleness makes high-performing models unreliable when deployment conditions depart from their training distribution | Racing to Safety: Tax Policy for AI Safety-by-Design | 10 | machine-drafted-source-checked |
| ssrn-5181207-p039 | progress in interpretability and explainability remains far from a reliable understanding of model internals | Racing to Safety: Tax Policy for AI Safety-by-Design | 11 | machine-drafted-source-checked |
| ssrn-5181207-p040 | autonomous deviation from human intent is a contentious but increasingly concrete AI-safety domain | Racing to Safety: Tax Policy for AI Safety-by-Design | 11 | machine-drafted-source-checked |
| ssrn-5181207-p041 | autonomous agents represent a qualitative shift because they pursue general objectives with limited human oversight | Racing to Safety: Tax Policy for AI Safety-by-Design | 11 | machine-drafted-source-checked |
| ssrn-5181207-p042 | agents can infer intentions, plan strategies, use tools, and execute multi-step tasks without continuous user involvement | Racing to Safety: Tax Policy for AI Safety-by-Design | 11 | machine-drafted-source-checked |
| ssrn-5181207-p043 | multi-agent architectures can decompose broad objectives and coordinate specialized sub-agents toward a common goal | Racing to Safety: Tax Policy for AI Safety-by-Design | 12 | machine-drafted-source-checked |
| ssrn-5181207-p044 | AI agents can combine internet access, financial transactions, speech tools, and human labor into operational capacity | Racing to Safety: Tax Policy for AI Safety-by-Design | 12 | machine-drafted-source-checked |
| ssrn-5181207-p045 | an agent's proposed use of a human worker to bypass a CAPTCHA shows that tool recombination can defeat apparent physical constraints | Racing to Safety: Tax Policy for AI Safety-by-Design | 12 | machine-drafted-source-checked |
| ssrn-5181207-p046 | optimization pressure can produce formally successful but norm-violating pathways to a goal | Racing to Safety: Tax Policy for AI Safety-by-Design | 12 | machine-drafted-source-checked |
| ssrn-5181207-p047 | unexpected server escape and strategic deception show that safeguards based on limited tool access can fail in unanticipated ways | Racing to Safety: Tax Policy for AI Safety-by-Design | 12 | machine-drafted-source-checked |
| ssrn-5181207-p048 | autonomous AI creates harm vectors that transcend traditional safety frameworks | Racing to Safety: Tax Policy for AI Safety-by-Design | 13 | machine-drafted-source-checked |
| ssrn-5181207-p049 | autonomous agents can formulate sub-goals, find novel pathways, manipulate institutions, and scale through coordination | Racing to Safety: Tax Policy for AI Safety-by-Design | 13 | machine-drafted-source-checked |
| ssrn-5181207-p050 | incomplete objective specifications make effective control and supervision of autonomous agents especially difficult | Racing to Safety: Tax Policy for AI Safety-by-Design | 13 | machine-drafted-source-checked |
| ssrn-5181207-p051 | the present period of rapid AI advancement is an AI summer whose duration remains uncertain | Racing to Safety: Tax Policy for AI Safety-by-Design | 13 | machine-drafted-source-checked |
| ssrn-5181207-p052 | AI performance has often moved from subhuman to human and then superhuman levels in a short period | Racing to Safety: Tax Policy for AI Safety-by-Design | 14 | machine-drafted-source-checked |
| ssrn-5181207-p053 | several capability benchmarks stopped being informative because modern systems saturated them rather than because progress ceased | Racing to Safety: Tax Policy for AI Safety-by-Design | 14 | machine-drafted-source-checked |
| ssrn-5181207-p054 | benchmark saturation forces researchers to continually invent new measures of frontier capability | Racing to Safety: Tax Policy for AI Safety-by-Design | 14 | machine-drafted-source-checked |
| ssrn-5181207-p055 | safety measurement lags capability measurement even in autonomous driving, a domain with extensive historical data | Racing to Safety: Tax Policy for AI Safety-by-Design | 14 | machine-drafted-source-checked |
| ssrn-5181207-p056 | AI safety testing reveals little about resilience to rare edge cases and coordinated environmental perturbations | Racing to Safety: Tax Policy for AI Safety-by-Design | 15 | machine-drafted-source-checked |
| ssrn-5181207-p057 | AI safety lacks robust measures for adversarial vulnerability and systemic failure modes | Racing to Safety: Tax Policy for AI Safety-by-Design | 15 | machine-drafted-source-checked |
| ssrn-5181207-p058 | safety tests under ideal conditions reveal little about resilience to rare or coordinated environmental perturbations | Racing to Safety: Tax Policy for AI Safety-by-Design | 15 | machine-drafted-source-checked |
| ssrn-5181207-p059 | the capability-safety gap seems to be widening even though researchers cannot yet measure it reliably | Racing to Safety: Tax Policy for AI Safety-by-Design | 15 | machine-drafted-source-checked |
| ssrn-5181207-p060 | AI safety becomes a social priority as systems enter healthcare, economic governance, national security, and critical infrastructure | Racing to Safety: Tax Policy for AI Safety-by-Design | 16 | machine-drafted-source-checked |
| ssrn-5181207-p061 | developers' stated concern for safety may be insufficient against structural incentives favoring capability advances | Racing to Safety: Tax Policy for AI Safety-by-Design | 16 | machine-drafted-source-checked |
| ssrn-5181207-p062 | returns from advanced AI are concentrated while its risks are diffuse, producing a fundamental reward asymmetry | Racing to Safety: Tax Policy for AI Safety-by-Design | 16 | machine-drafted-source-checked |
| ssrn-5181207-p063 | AI harms are often probabilistic, delayed, and difficult to attribute to particular design choices | Racing to Safety: Tax Policy for AI Safety-by-Design | 16 | machine-drafted-source-checked |
| ssrn-5181207-p064 | U.S.-China competition and the technology sector's move-fast ethos punish developers who slow down for safety | Racing to Safety: Tax Policy for AI Safety-by-Design | 17 | machine-drafted-source-checked |
| ssrn-5181207-p065 | competitive and cultural pressure can structurally capture even developers who personally prioritize safety | Racing to Safety: Tax Policy for AI Safety-by-Design | 17 | machine-drafted-source-checked |
| ssrn-5181207-p066 | scaling can create an emergence-safety paradox in which greater capability also increases unexpected harmful behavior | Racing to Safety: Tax Policy for AI Safety-by-Design | 17 | machine-drafted-source-checked |
| ssrn-5181207-p067 | diagnosing social misalignment suggests using incentives and penalties to raise safety investment while preserving useful innovation | Racing to Safety: Tax Policy for AI Safety-by-Design | 17 | machine-drafted-source-checked |
| ssrn-5181207-p068 | government already supports safety through direct grants and prizes and through indirect credits and deductions | Racing to Safety: Tax Policy for AI Safety-by-Design | 18 | machine-drafted-source-checked |
| ssrn-5181207-p069 | credits for safety protocols, audits, and certifications lower the effective cost of precaution | Racing to Safety: Tax Policy for AI Safety-by-Design | 18 | machine-drafted-source-checked |
| ssrn-5181207-p070 | fiscal support can improve products and social welfare by making safety an operational priority | Racing to Safety: Tax Policy for AI Safety-by-Design | 18 | machine-drafted-source-checked |
| ssrn-5181207-p071 | accelerated depreciation frontloads deductions, increases near-term cash flow, and can increase long-lived safety investment | Racing to Safety: Tax Policy for AI Safety-by-Design | 19 | machine-drafted-source-checked |
| ssrn-5181207-p072 | reduced taxes on smoke detectors, cybersecurity tools, and renewable-energy systems can stimulate consumer demand for safety | Racing to Safety: Tax Policy for AI Safety-by-Design | 19 | machine-drafted-source-checked |
| ssrn-5181207-p073 | combining producer and consumer incentives can foster safety culture without imposing a direct mandate | Racing to Safety: Tax Policy for AI Safety-by-Design | 19 | machine-drafted-source-checked |
| ssrn-5181207-p074 | commercial-building deductions and residential energy credits illustrate simultaneous supply- and demand-side fiscal policy | Racing to Safety: Tax Policy for AI Safety-by-Design | 20 | machine-drafted-source-checked |
| ssrn-5181207-p075 | the Advanced Energy Project Credit supports manufacturing, emissions reduction, critical materials, grid modernization, and carbon capture | Racing to Safety: Tax Policy for AI Safety-by-Design | 20 | machine-drafted-source-checked |
| ssrn-5181207-p076 | energy-efficiency upgrades can also improve fire safety, temperature control, electrical reliability, ventilation, and indoor air quality | Racing to Safety: Tax Policy for AI Safety-by-Design | 20 | machine-drafted-source-checked |
| ssrn-5181207-p077 | offshore-drilling research programs demonstrate direct public support for operational and environmental safety innovation | Racing to Safety: Tax Policy for AI Safety-by-Design | 21 | machine-drafted-source-checked |
| ssrn-5181207-p078 | solar investment credits can produce safety benefits alongside their primary environmental purpose | Racing to Safety: Tax Policy for AI Safety-by-Design | 21 | machine-drafted-source-checked |
| ssrn-5181207-p079 | clean-vehicle credits illustrate how a sustainability subsidy may also accelerate adoption of modern safety technology | Racing to Safety: Tax Policy for AI Safety-by-Design | 21 | machine-drafted-source-checked |
| ssrn-5181207-p080 | safety programs can be financed by reallocating existing budgets or by imposing dedicated excise taxes | Racing to Safety: Tax Policy for AI Safety-by-Design | 22 | machine-drafted-source-checked |
| ssrn-5181207-p081 | fuel excise-tax revenue placed in the Highway Trust Fund supports construction, maintenance, and explicit road-safety programs | Racing to Safety: Tax Policy for AI Safety-by-Design | 22 | machine-drafted-source-checked |
| ssrn-5181207-p082 | tax collection and targeted spending can support signage, traffic management, safer road design, and fatality reduction | Racing to Safety: Tax Policy for AI Safety-by-Design | 22 | machine-drafted-source-checked |
| ssrn-5181207-p083 | disaster relief and disabled-access credits can indirectly finance safer rebuilding, accessible exits, and emergency systems | Racing to Safety: Tax Policy for AI Safety-by-Design | 23 | machine-drafted-source-checked |
| ssrn-5181207-p084 | grid-modernization credits can reduce outages, electrical fires, arc-flash incidents, and equipment failures | Racing to Safety: Tax Policy for AI Safety-by-Design | 23 | machine-drafted-source-checked |
| ssrn-5181207-p085 | new vehicles and environmental-control equipment can improve both worker safety and ambient air quality | Racing to Safety: Tax Policy for AI Safety-by-Design | 23 | machine-drafted-source-checked |
| ssrn-5181207-p086 | technological modernization can produce direct and indirect workplace-safety gains through updated equipment and processes | Racing to Safety: Tax Policy for AI Safety-by-Design | 24 | machine-drafted-source-checked |
| ssrn-5181207-p087 | Section 179 immediate expensing can accelerate investment in fire-protection, security, and other safety infrastructure | Racing to Safety: Tax Policy for AI Safety-by-Design | 24 | machine-drafted-source-checked |
| ssrn-5181207-p088 | bonus depreciation complements expensing by frontloading deductions for protective gear, guards, HVAC, fire, and security systems | Racing to Safety: Tax Policy for AI Safety-by-Design | 24 | machine-drafted-source-checked |
| ssrn-5181207-p089 | the Inflation Reduction Act's base-and-bonus structure conditions larger energy credits on wage and apprenticeship requirements | Racing to Safety: Tax Policy for AI Safety-by-Design | 25 | machine-drafted-source-checked |
| ssrn-5181207-p090 | apprenticeship conditions can build a skilled workforce and improve workplace-safety practices | Racing to Safety: Tax Policy for AI Safety-by-Design | 25 | machine-drafted-source-checked |
| ssrn-5181207-p091 | fundamental safety research is undersupplied because its uncertain and nonrival social returns exceed the returns private firms can capture | Racing to Safety: Tax Policy for AI Safety-by-Design | 25 | machine-drafted-source-checked |
| ssrn-5181207-p092 | private businesses now conduct more than two-thirds of U.S. R&D, increasing the importance of incentives that govern firm behavior | Racing to Safety: Tax Policy for AI Safety-by-Design | 25 | machine-drafted-source-checked |
| ssrn-5181207-p093 | federal policy historically allowed immediate R&D deductions before shifting domestic research to five-year and foreign research to fifteen-year amortization | Racing to Safety: Tax Policy for AI Safety-by-Design | 26 | machine-drafted-source-checked |
| ssrn-5181207-p094 | mandatory amortization of domestic and foreign research can deter investment, especially by resource-constrained firms | Racing to Safety: Tax Policy for AI Safety-by-Design | 26 | machine-drafted-source-checked |
| ssrn-5181207-p095 | the R&D credit offers distinct traditional, simplified, energy-research, and university basic-research pathways | Racing to Safety: Tax Policy for AI Safety-by-Design | 26 | machine-drafted-source-checked |
| ssrn-5181207-p096 | federal and state research credits represent a large fiscal commitment yet produce mixed evidence of additional research | Racing to Safety: Tax Policy for AI Safety-by-Design | 27 | machine-drafted-source-checked |
| ssrn-5181207-p097 | firms may obtain research credits by reclassifying existing expenses rather than creating new socially valuable work | Racing to Safety: Tax Policy for AI Safety-by-Design | 27 | machine-drafted-source-checked |
| ssrn-5181207-p098 | routine quality assurance, post-market safety testing, and compliance verification generally fall outside qualified research expenses | Racing to Safety: Tax Policy for AI Safety-by-Design | 27 | machine-drafted-source-checked |
| ssrn-5181207-p099 | current research incentives may discourage AI-safety investment by rewarding capability work equally or more generously | Racing to Safety: Tax Policy for AI Safety-by-Design | 28 | machine-drafted-source-checked |
| ssrn-5181207-p100 | socialized AI risks and privately captured benefits create systematic underinvestment in safety protocols | Racing to Safety: Tax Policy for AI Safety-by-Design | 28 | machine-drafted-source-checked |
| ssrn-5181207-p101 | the proposed framework combines producer incentives, certification-based market mechanisms, and corrective taxes | Racing to Safety: Tax Policy for AI Safety-by-Design | 28 | machine-drafted-source-checked |
| ssrn-5181207-p102 | the framework relies on fiscal practices and administrative competencies that already exist in dispersed form | Racing to Safety: Tax Policy for AI Safety-by-Design | 28 | machine-drafted-source-checked |
| ssrn-5181207-p103 | regulatory pluralism is essential because no single liability rule, mandate, audit, or tax incentive can solve AI risk | Racing to Safety: Tax Policy for AI Safety-by-Design | 29 | machine-drafted-source-checked |
| ssrn-5181207-p104 | stacking imperfect preventive and reactive tools resembles a Swiss-cheese model of safety | Racing to Safety: Tax Policy for AI Safety-by-Design | 29 | machine-drafted-source-checked |
| ssrn-5181207-p105 | verified credits for training, alignment, and safer design can make safety an organizational priority while preserving global competitiveness | Racing to Safety: Tax Policy for AI Safety-by-Design | 29 | machine-drafted-source-checked |
| ssrn-5181207-p106 | baseline incentives should begin before perfect measurement exists and should be refined as safety knowledge matures | Racing to Safety: Tax Policy for AI Safety-by-Design | 29 | machine-drafted-source-checked |
| ssrn-5181207-p107 | research credits, expensing rules, and basic-research incentives address different safety-research market failures | Racing to Safety: Tax Policy for AI Safety-by-Design | 30 | machine-drafted-source-checked |
| ssrn-5181207-p108 | targeted credits can reduce the cost of alignment, adversarial testing, interpretability, and monitoring | Racing to Safety: Tax Policy for AI Safety-by-Design | 30 | machine-drafted-source-checked |
| ssrn-5181207-p109 | the pharmaceutical combination of discovery subsidies, clinical validation, and orphan-drug credits supplies a useful design analogy | Racing to Safety: Tax Policy for AI Safety-by-Design | 30 | machine-drafted-source-checked |
| ssrn-5181207-p110 | existing R&D rules exclude many AI-safety costs, including compliance, training, infrastructure, market research, and routine testing | Racing to Safety: Tax Policy for AI Safety-by-Design | 30 | machine-drafted-source-checked |
| ssrn-5181207-p111 | AI systems generate externalities affecting users and nonusers, giving AI-safety research a broader impact radius than ordinary product research | Racing to Safety: Tax Policy for AI Safety-by-Design | 31 | machine-drafted-source-checked |
| ssrn-5181207-p112 | an AI Safety Research Tax Credit should expand eligible activities to red teaming, explainability, training monitoring, and guardrail development | Racing to Safety: Tax Policy for AI Safety-by-Design | 31 | machine-drafted-source-checked |
| ssrn-5181207-p113 | higher credit rates for startups and for late-stage quality assurance could target liquidity constraints and the importance of validation | Racing to Safety: Tax Policy for AI Safety-by-Design | 31 | machine-drafted-source-checked |
| ssrn-5181207-p114 | a redesigned Basic Research Credit could support academic, nonprofit, and industry collaboration on safety protocols and robustness | Racing to Safety: Tax Policy for AI Safety-by-Design | 31 | machine-drafted-source-checked |
| ssrn-5181207-p115 | immediate expensing of safety work and extended amortization of pure capability work would change the relative price of the two activities | Racing to Safety: Tax Policy for AI Safety-by-Design | 32 | machine-drafted-source-checked |
| ssrn-5181207-p116 | qualifying safety expenditures should include testing frameworks, alignment research, monitoring systems, software, prototypes, licenses, and patents | Racing to Safety: Tax Policy for AI Safety-by-Design | 32 | machine-drafted-source-checked |
| ssrn-5181207-p117 | longer amortization for model-size and compute investments can act as a subtle brake on move-fast-and-break-things development | Racing to Safety: Tax Policy for AI Safety-by-Design | 32 | machine-drafted-source-checked |
| ssrn-5181207-p118 | certified safe AI software should receive immediate expensing even though custom-developed software is ordinarily amortized as an intangible | Racing to Safety: Tax Policy for AI Safety-by-Design | 32 | machine-drafted-source-checked |
| ssrn-5181207-p119 | a refundable payroll-tax offset would give safety credits immediate value to startups with little income-tax liability | Racing to Safety: Tax Policy for AI Safety-by-Design | 33 | machine-drafted-source-checked |
| ssrn-5181207-p120 | startup eligibility could be widened by increasing payroll offsets, relaxing gross-receipts limits, and extending the claim period | Racing to Safety: Tax Policy for AI Safety-by-Design | 33 | machine-drafted-source-checked |
| ssrn-5181207-p121 | the Basic Research Credit is structurally suited to foundational safety inquiry with long horizons, uncertainty, and diffuse benefits | Racing to Safety: Tax Policy for AI Safety-by-Design | 33 | machine-drafted-source-checked |
| ssrn-5181207-p122 | written partnerships between companies and qualified research institutions can create formal channels for safety knowledge production | Racing to Safety: Tax Policy for AI Safety-by-Design | 33 | machine-drafted-source-checked |
| ssrn-5181207-p123 | industry-university partnerships combine firms' practical expertise and compute with academia's theory and commitment to open inquiry | Racing to Safety: Tax Policy for AI Safety-by-Design | 34 | machine-drafted-source-checked |
| ssrn-5181207-p124 | current eligibility rules exclude ethical studies, foreign collaboration, routine data work, capital assets, training, implementation, and many administrative costs | Racing to Safety: Tax Policy for AI Safety-by-Design | 34 | machine-drafted-source-checked |
| ssrn-5181207-p125 | those exclusions prevent a comprehensive safety framework from qualifying under existing research-credit rules | Racing to Safety: Tax Policy for AI Safety-by-Design | 34 | machine-drafted-source-checked |
| ssrn-5181207-p126 | targeted safety credits can be built within existing fiscal architecture despite real administrative and operational challenges | Racing to Safety: Tax Policy for AI Safety-by-Design | 34 | machine-drafted-source-checked |
| ssrn-5181207-p127 | an AI Reliability Credit could subsidize household purchases of products certified as safe and reliable | Racing to Safety: Tax Policy for AI Safety-by-Design | 35 | machine-drafted-source-checked |
| ssrn-5181207-p128 | a 30 percent credit for qualified consumer AI could reward bias mitigation, data protection, transparency, and reliability | Racing to Safety: Tax Policy for AI Safety-by-Design | 35 | machine-drafted-source-checked |
| ssrn-5181207-p129 | manufacturer certification and an AI Reliability label could mirror the Energy Efficient Home Improvement Credit | Racing to Safety: Tax Policy for AI Safety-by-Design | 35 | machine-drafted-source-checked |
| ssrn-5181207-p130 | purchase documentation and a capped per-product or household credit could make reliability salient without unlimited fiscal exposure | Racing to Safety: Tax Policy for AI Safety-by-Design | 36 | machine-drafted-source-checked |
| ssrn-5181207-p131 | credible certification can redirect consumer demand and thereby pressure domestic and international producers toward stronger safety standards | Racing to Safety: Tax Policy for AI Safety-by-Design | 36 | machine-drafted-source-checked |
| ssrn-5181207-p132 | consumer incentives should rely on standards established by independent organizations working with public regulators | Racing to Safety: Tax Policy for AI Safety-by-Design | 36 | machine-drafted-source-checked |
| ssrn-5181207-p133 | Pigouvian taxes can force developers to internalize risks they would otherwise externalize to others | Racing to Safety: Tax Policy for AI Safety-by-Design | 37 | machine-drafted-source-checked |
| ssrn-5181207-p134 | corrective taxation preserves firms' choice over whether and how to engage in risky activity, unlike a flat command-and-control prohibition | Racing to Safety: Tax Policy for AI Safety-by-Design | 37 | machine-drafted-source-checked |
| ssrn-5181207-p135 | graduated AI penalties should combine direct tax surcharges with recapture of prior credits and expensing benefits | Racing to Safety: Tax Policy for AI Safety-by-Design | 37 | machine-drafted-source-checked |
| ssrn-5181207-p136 | recapture ensures that public funds do not continue subsidizing AI systems that cause preventable severe harm | Racing to Safety: Tax Policy for AI Safety-by-Design | 38 | machine-drafted-source-checked |
| ssrn-5181207-p137 | penalty revenue should finance public development of AI-safety standards and research | Racing to Safety: Tax Policy for AI Safety-by-Design | 38 | machine-drafted-source-checked |
| ssrn-5181207-p138 | tax law already makes benefits contingent on compliance in housing, energy, employment, insurance, and extractive industries | Racing to Safety: Tax Policy for AI Safety-by-Design | 38 | machine-drafted-source-checked |
| ssrn-5181207-p139 | AI firms could be required to allocate a minimum share of development spending, illustratively 25 percent, to safety before receiving tax benefits | Racing to Safety: Tax Policy for AI Safety-by-Design | 38 | machine-drafted-source-checked |
| ssrn-5181207-p140 | validating safety spending is difficult because firms possess more information than regulators | Racing to Safety: Tax Policy for AI Safety-by-Design | 38 | machine-drafted-source-checked |
| ssrn-5181207-p141 | initial claims can use relatively permissive standards while post-incident investigations and targeted audits apply stricter scrutiny | Racing to Safety: Tax Policy for AI Safety-by-Design | 38 | machine-drafted-source-checked |
| ssrn-5181207-p142 | tax law's mix of bright-line triggers and flexible administrative standards offers a model for technically complex AI-safety oversight | Racing to Safety: Tax Policy for AI Safety-by-Design | 39 | machine-drafted-source-checked |
| ssrn-5181207-p143 | ex ante investment requirements and calibrated enforcement can bridge private incentives and public safety imperatives | Racing to Safety: Tax Policy for AI Safety-by-Design | 39 | machine-drafted-source-checked |
| ssrn-5181207-p144 | tax policy can preserve market flexibility while aligning organizations with public welfare more dynamically than rigid commands | Racing to Safety: Tax Policy for AI Safety-by-Design | 39 | machine-drafted-source-checked |
| ssrn-5181207-p145 | tax law's mix of bright-line triggers and flexible standards offers a model for technically complex AI-safety oversight | Racing to Safety: Tax Policy for AI Safety-by-Design | 40 | machine-drafted-source-checked |
| ssrn-5181207-p146 | tax incentives can reshape organizational culture by making safety research, governance, and compliance financially advantageous | Racing to Safety: Tax Policy for AI Safety-by-Design | 40 | machine-drafted-source-checked |
| ssrn-5181207-p147 | fiscal policy can mobilize private expertise and partnerships while leaving firms ownership over how they implement safety | Racing to Safety: Tax Policy for AI Safety-by-Design | 40 | machine-drafted-source-checked |
| ssrn-5181207-p148 | treating AI safety as a public good spreads costs across taxpayers while concentrating resources on safety-enhancing work | Racing to Safety: Tax Policy for AI Safety-by-Design | 40 | machine-drafted-source-checked |
| ssrn-5181207-p149 | public-private safety partnerships can share research insights while protecting proprietary information | Racing to Safety: Tax Policy for AI Safety-by-Design | 41 | machine-drafted-source-checked |
| ssrn-5181207-p150 | credits can support precompetitive alliances, third-party certification, open-source tools, and knowledge sharing without requiring disclosure of all proprietary information | Racing to Safety: Tax Policy for AI Safety-by-Design | 41 | machine-drafted-source-checked |
| ssrn-5181207-p151 | consumer and producer incentives can foster a sustainable safety ecosystem in which domain experts retain implementation flexibility | Racing to Safety: Tax Policy for AI Safety-by-Design | 41 | machine-drafted-source-checked |
| ssrn-5181207-p152 | subsidizing a profitable technology sector creates political and distributional objections because foregone revenue must be financed elsewhere | Racing to Safety: Tax Policy for AI Safety-by-Design | 42 | machine-drafted-source-checked |
| ssrn-5181207-p153 | complex R&D incentives impose documentation, professional-advice, audit, and compliance burdens that may overwhelm their benefits | Racing to Safety: Tax Policy for AI Safety-by-Design | 42 | machine-drafted-source-checked |
| ssrn-5181207-p154 | tax benefits may fail to influence strategy if they remain nonsalient or peripheral to senior executives | Racing to Safety: Tax Policy for AI Safety-by-Design | 42 | machine-drafted-source-checked |
| ssrn-5181207-p155 | the relevant reform can redirect existing capability subsidies toward safety rather than necessarily creating new net benefits | Racing to Safety: Tax Policy for AI Safety-by-Design | 43 | machine-drafted-source-checked |
| ssrn-5181207-p156 | distributed oversight across tax incentives, grants, exemptions, and partnerships can limit any single agency's discretion | Racing to Safety: Tax Policy for AI Safety-by-Design | 43 | machine-drafted-source-checked |
| ssrn-5181207-p157 | initial eligibility should focus on foundational research and model training because upstream safety advances generate ecosystem-wide spillovers | Racing to Safety: Tax Policy for AI Safety-by-Design | 43 | machine-drafted-source-checked |
| ssrn-5181207-p158 | safety-washing can disguise capability investment as safety and therefore requires a constrained, verifiable definition of qualifying work | Racing to Safety: Tax Policy for AI Safety-by-Design | 44 | machine-drafted-source-checked |
| ssrn-5181207-p159 | the Scott Aaronson episode illustrates how a prestigious safety appointment can serve reputational goals without producing broad safety reform | Racing to Safety: Tax Policy for AI Safety-by-Design | 44 | machine-drafted-source-checked |
| ssrn-5181207-p160 | the IRS can adapt its existing experience evaluating technical experimentation and uncertainty rather than creating an entirely new regulator | Racing to Safety: Tax Policy for AI Safety-by-Design | 44 | machine-drafted-source-checked |
| ssrn-5181207-p161 | AI developers should document alignment tests, adversarial evaluations, red-team results, training behavior, failure modes, and mitigation work | Racing to Safety: Tax Policy for AI Safety-by-Design | 45 | machine-drafted-source-checked |
| ssrn-5181207-p162 | emerging NIST, ISO, IEEE, OECD, European, and industry standards can supply concrete qualification metrics | Racing to Safety: Tax Policy for AI Safety-by-Design | 45 | machine-drafted-source-checked |
| ssrn-5181207-p163 | standardized eligibility, pre-certification, automated records, and output-based incentives can reduce administrative burden and gaming | Racing to Safety: Tax Policy for AI Safety-by-Design | 45 | machine-drafted-source-checked |
| ssrn-5181207-p164 | regular review should keep fiscal incentives effective and manageable as AI safety knowledge changes | Racing to Safety: Tax Policy for AI Safety-by-Design | 46 | machine-drafted-source-checked |
| ssrn-5181207-p165 | implementation is unavoidably difficult, but existing tax tools offer a comparatively practical path for building regulatory capacity | Racing to Safety: Tax Policy for AI Safety-by-Design | 46 | machine-drafted-source-checked |
| ssrn-5181207-p166 | the framework addresses social misalignment through producer incentives, consumer credits, and corrective penalties rather than a new standalone agency | Racing to Safety: Tax Policy for AI Safety-by-Design | 46 | machine-drafted-source-checked |
| ssrn-5181207-p167 | the fiscal blueprint can extend to biotechnology, nanotechnology, and other domains where private innovation incentives diverge from public welfare | Racing to Safety: Tax Policy for AI Safety-by-Design | 47 | machine-drafted-source-checked |
| ssrn-5181207-p168 | tax incentives cannot guarantee safe AI and should operate as one component of a broader regulatory ecosystem | Racing to Safety: Tax Policy for AI Safety-by-Design | 47 | machine-drafted-source-checked |
| ssrn-5181207-p169 | market mechanisms and firm knowledge give tax policy comparative value in fast-moving fields marked by regulatory information and expertise asymmetries | Racing to Safety: Tax Policy for AI Safety-by-Design | 47 | machine-drafted-source-checked |
| ssrn-4873649-p001 | AI can sharply reduce the cost of generating legal materials for lawyers and nonlawyers | Judicial Economy in the Age of AI | 549 | machine-drafted-source-checked |
| ssrn-4873649-p002 | greater access generated by AI can paradoxically undermine the delivery of justice | Judicial Economy in the Age of AI | 549 | machine-drafted-source-checked |
| ssrn-4873649-p003 | AI affects the naming, blaming, and claiming stages that precede formal litigation | Judicial Economy in the Age of AI | 549 | machine-drafted-source-checked |
| ssrn-4873649-p004 | the legal system should respond to AI adoption through proactive integration rather than continual restriction of litigants | Judicial Economy in the Age of AI | 549 | machine-drafted-source-checked |
| ssrn-4873649-p005 | most legal disputes never become filed cases | Judicial Economy in the Age of AI | 550 | machine-drafted-source-checked |
| ssrn-4873649-p006 | estimates of roughly 120 million unresolved legal problems reveal a potential caseload far larger than current dockets | Judicial Economy in the Age of AI | 550 | machine-drafted-source-checked |
| ssrn-4873649-p007 | low-income Americans face both frequent civil legal problems and extremely low rates of legal assistance | Judicial Economy in the Age of AI | 550 | machine-drafted-source-checked |
| ssrn-4873649-p008 | many access-to-justice barriers can be translated into costs | Judicial Economy in the Age of AI | 551 | machine-drafted-source-checked |
| ssrn-4873649-p009 | the way an injured person describes a wrong can reveal the absence of legal consciousness | Judicial Economy in the Age of AI | 551 | machine-drafted-source-checked |
| ssrn-4873649-p010 | large increases in legal-aid funding have made only a limited dent in unmet need | Judicial Economy in the Age of AI | 551 | machine-drafted-source-checked |
| ssrn-4873649-p011 | legal-aid organizations must turn away enormous numbers of eligible people because lawyers are scarce | Judicial Economy in the Age of AI | 552 | machine-drafted-source-checked |
| ssrn-4873649-p012 | technology can reinforce inequality when repeat-player firms automate litigation while individuals remain comparatively analog | Judicial Economy in the Age of AI | 552 | machine-drafted-source-checked |
| ssrn-4873649-p013 | the claim that individuals use only analog legal tools is overstated but contains an important asymmetry | Judicial Economy in the Age of AI | 552 | machine-drafted-source-checked |
| ssrn-4873649-p014 | stories about lawyers filing hallucinated AI output obscure evidence of real adoption | Judicial Economy in the Age of AI | 553 | machine-drafted-source-checked |
| ssrn-4873649-p015 | small law firms are adopting generative AI despite not usually being early adopters | Judicial Economy in the Age of AI | 553 | machine-drafted-source-checked |
| ssrn-4873649-p016 | convenience can drive AI adoption even when users know the tools are imperfect | Judicial Economy in the Age of AI | 553 | machine-drafted-source-checked |
| ssrn-4873649-p017 | democratized litigation technology is likely to produce a litigation boom by sharply lowering material-production costs | Judicial Economy in the Age of AI | 554 | machine-drafted-source-checked |
| ssrn-4873649-p018 | courts should begin integrating AI before increased caseloads force emergency responses | Judicial Economy in the Age of AI | 554 | machine-drafted-source-checked |
| ssrn-4873649-p019 | unreliable AI should be a catalyst for careful integration rather than a reason for institutional paralysis | Judicial Economy in the Age of AI | 554 | machine-drafted-source-checked |
| ssrn-4873649-p020 | the naming-blaming-claiming model identifies invisible filters that keep injuries from becoming legal claims | Judicial Economy in the Age of AI | 555 | machine-drafted-source-checked |
| ssrn-4873649-p021 | AI can shepherd individuals through naming, blaming, and claiming by translating misfortune into legally cognizable terms | Judicial Economy in the Age of AI | 555 | machine-drafted-source-checked |
| ssrn-4873649-p022 | removing access filters will enable both meritorious and abusive litigation | Judicial Economy in the Age of AI | 555 | machine-drafted-source-checked |
| ssrn-4873649-p023 | procedural and substantive doctrines can operate as legal thermostats that stabilize caseload | Judicial Economy in the Age of AI | 556 | machine-drafted-source-checked |
| ssrn-4873649-p024 | thermostat adjustments can erase access gains by narrowing the rights available after litigants reach court | Judicial Economy in the Age of AI | 556 | machine-drafted-source-checked |
| ssrn-4873649-p025 | integrating AI into case management and chambers can scale processing without sacrificing individual rights | Judicial Economy in the Age of AI | 556 | machine-drafted-source-checked |
| ssrn-4873649-p026 | debate about legal AI is distorted by treating it as either omnipotent or useless | Judicial Economy in the Age of AI | 557 | machine-drafted-source-checked |
| ssrn-4873649-p027 | current capability evidence establishes tentative floors while observed limits establish only tentative ceilings | Judicial Economy in the Age of AI | 557 | machine-drafted-source-checked |
| ssrn-4873649-p028 | adequacy rather than perfection is the relevant threshold for estimating litigation effects | Judicial Economy in the Age of AI | 557 | machine-drafted-source-checked |
| ssrn-4873649-p029 | GPT-4 performed contract issue identification at roughly the level of junior lawyers in a cited study | Judicial Economy in the Age of AI | 558 | machine-drafted-source-checked |
| ssrn-4873649-p030 | AI completed contract-review tasks in a small fraction of lawyer time and at a tiny operating cost | Judicial Economy in the Age of AI | 558 | machine-drafted-source-checked |
| ssrn-4873649-p031 | the model's preference for precision over recall resembled a junior lawyer's failure pattern | Judicial Economy in the Age of AI | 558 | machine-drafted-source-checked |
| ssrn-4873649-p032 | newer models correctly answered illustrative contract-review errors made by an earlier model | Judicial Economy in the Age of AI | 559 | machine-drafted-source-checked |
| ssrn-4873649-p033 | smart readers can greatly shorten and simplify consumer legal documents without losing essential information | Judicial Economy in the Age of AI | 559 | machine-drafted-source-checked |
| ssrn-4873649-p034 | some smart-reader failures reflected context-window limits that later systems substantially mitigated | Judicial Economy in the Age of AI | 559 | machine-drafted-source-checked |
| ssrn-4873649-p035 | LLMs achieved substantial above-chance accuracy on complex tax-law questions | Judicial Economy in the Age of AI | 560 | machine-drafted-source-checked |
| ssrn-4873649-p036 | the realistic margin of substitution is often a low-cost lay service provider rather than a white-shoe lawyer | Judicial Economy in the Age of AI | 560 | machine-drafted-source-checked |
| ssrn-4873649-p037 | legal hallucinations are a serious but sometimes cheaply verifiable failure mode | Judicial Economy in the Age of AI | 560 | machine-drafted-source-checked |
| ssrn-4873649-p038 | bar-exam claims about GPT-4 depend materially on the human comparison group and test administration | Judicial Economy in the Age of AI | 561 | machine-drafted-source-checked |
| ssrn-4873649-p039 | corrected estimates place GPT-4 near the median of successful test takers overall but much lower on essays | Judicial Economy in the Age of AI | 561 | machine-drafted-source-checked |
| ssrn-4873649-p040 | bar and law-school tests imperfectly predict practice but remain relevant because they are legal gatekeepers | Judicial Economy in the Age of AI | 561 | machine-drafted-source-checked |
| ssrn-4873649-p041 | blind referees preferred an AI-drafted employment complaint letter to a trained lawyer's letter in a cited study | Judicial Economy in the Age of AI | 562 | machine-drafted-source-checked |
| ssrn-4873649-p042 | legal-aid lawyers reported productivity gains from GPT-4 while remaining concerned about the technology | Judicial Economy in the Age of AI | 562 | machine-drafted-source-checked |
| ssrn-4873649-p043 | AI faults must be measured against realistic alternatives, including self-help and doing nothing | Judicial Economy in the Age of AI | 562 | machine-drafted-source-checked |
| ssrn-4873649-p044 | poor households are especially likely to take no action on legal problems | Judicial Economy in the Age of AI | 563 | machine-drafted-source-checked |
| ssrn-4873649-p045 | lawyers broadly believe AI can be applied to legal work even when fewer view its use as appropriate | Judicial Economy in the Age of AI | 563 | machine-drafted-source-checked |
| ssrn-4873649-p046 | early surveys already showed meaningful AI use among lawyers and legal-aid practitioners | Judicial Economy in the Age of AI | 563 | machine-drafted-source-checked |
| ssrn-4873649-p047 | common legal AI uses include drafting, brainstorming, summarizing, and writing communications | Judicial Economy in the Age of AI | 564 | machine-drafted-source-checked |
| ssrn-4873649-p048 | AI use among knowledge workers accelerated dramatically in a short period | Judicial Economy in the Age of AI | 564 | machine-drafted-source-checked |
| ssrn-4873649-p049 | law-firm adoption supplies a model that courts could adapt for chambers and case-management workflows | Judicial Economy in the Age of AI | 564 | machine-drafted-source-checked |
| ssrn-4873649-p050 | access to justice is a contested umbrella that includes formal, substantive, representative, and psychological dimensions | Judicial Economy in the Age of AI | 565 | machine-drafted-source-checked |
| ssrn-4873649-p051 | access barriers are regressive and help the haves come out ahead | Judicial Economy in the Age of AI | 565 | machine-drafted-source-checked |
| ssrn-4873649-p052 | AI creates a holistic shock to access barriers that reaches costs, social framing, and psychology | Judicial Economy in the Age of AI | 565 | machine-drafted-source-checked |
| ssrn-4873649-p053 | disputes are constructed through transformations rather than discovered as ready-made legal objects | Judicial Economy in the Age of AI | 566 | machine-drafted-source-checked |
| ssrn-4873649-p054 | naming-blaming-claiming filters disproportionately burden people with less educational, social, and financial capital | Judicial Economy in the Age of AI | 566 | machine-drafted-source-checked |
| ssrn-4873649-p055 | a simple AI response to a landlord-mold question can move a user through all three claim-formation stages | Judicial Economy in the Age of AI | 566 | machine-drafted-source-checked |
| ssrn-4873649-p056 | routine consultation with AI could change ordinary people's legal consciousness at scale | Judicial Economy in the Age of AI | 567 | machine-drafted-source-checked |
| ssrn-4873649-p057 | AI can help individuals select strategies after recognizing a claim | Judicial Economy in the Age of AI | 567 | machine-drafted-source-checked |
| ssrn-4873649-p058 | AI can assist with complaints, motions, filing logistics, and other materials throughout a case | Judicial Economy in the Age of AI | 567 | machine-drafted-source-checked |
| ssrn-4873649-p059 | predictive and classification tools can reduce uncertainty through document review, outcome prediction, and venue selection | Judicial Economy in the Age of AI | 568 | machine-drafted-source-checked |
| ssrn-4873649-p060 | the scale of unmet need makes a substantial AI litigation boom plausible even if only a fraction of latent claims are activated | Judicial Economy in the Age of AI | 568 | machine-drafted-source-checked |
| ssrn-4873649-p061 | AI threatens judicial economy through verbosity as well as through the number of filings | Judicial Economy in the Age of AI | 568 | machine-drafted-source-checked |
| ssrn-4873649-p062 | behavioral adaptation, settlement, regulation, and compliance could moderate the predicted litigation boom | Judicial Economy in the Age of AI | 569 | machine-drafted-source-checked |
| ssrn-4873649-p063 | some access frictions serve salutary screening functions even though they also block worthy claims | Judicial Economy in the Age of AI | 569 | machine-drafted-source-checked |
| ssrn-4873649-p064 | AI can scale strategic debt-collection claims that current filing costs make uneconomic | Judicial Economy in the Age of AI | 569 | machine-drafted-source-checked |
| ssrn-4873649-p065 | an AI-driven rise in caseload can reduce the scrutiny courts give unrelated cases | Judicial Economy in the Age of AI | 570 | machine-drafted-source-checked |
| ssrn-4873649-p066 | control theory provides a model for understanding how legal institutions maintain equilibrium under shocks | Judicial Economy in the Age of AI | 570 | machine-drafted-source-checked |
| ssrn-4873649-p067 | judicial economy is a closed-loop system in which outputs and workload influence later legal inputs | Judicial Economy in the Age of AI | 570 | machine-drafted-source-checked |
| ssrn-4873649-p068 | judges modulate litigation through the strictness or leniency of procedural and substantive doctrines | Judicial Economy in the Age of AI | 571 | machine-drafted-source-checked |
| ssrn-4873649-p069 | thermostat adjustments inevitably affect rights when doctrine is used to manage resources | Judicial Economy in the Age of AI | 571 | machine-drafted-source-checked |
| ssrn-4873649-p070 | court fees are a direct legal thermostat because they deter claims below a litigant's expected value threshold | Judicial Economy in the Age of AI | 571 | machine-drafted-source-checked |
| ssrn-4873649-p071 | fees and de minimis rules screen out socially important litigation as well as low-value cases | Judicial Economy in the Age of AI | 572 | machine-drafted-source-checked |
| ssrn-4873649-p072 | even modest logistical barriers such as courthouse distance have large effects on poor litigants | Judicial Economy in the Age of AI | 572 | machine-drafted-source-checked |
| ssrn-4873649-p073 | Twombly and Iqbal heightened pleading standards partly to control discovery costs | Judicial Economy in the Age of AI | 572 | machine-drafted-source-checked |
| ssrn-4873649-p074 | heightened pleading standards appear to burden pro se plaintiffs more than represented parties | Judicial Economy in the Age of AI | 573 | machine-drafted-source-checked |
| ssrn-4873649-p075 | Lone Pine orders manage complex litigation by demanding preliminary injury and causation evidence | Judicial Economy in the Age of AI | 573 | machine-drafted-source-checked |
| ssrn-4873649-p076 | exhaustion requirements operate as thermostats by forcing claimants through administrative processes before court | Judicial Economy in the Age of AI | 573 | machine-drafted-source-checked |
| ssrn-4873649-p077 | the Prison Litigation Reform Act illustrates an explicit legislative response to perceived caseload pressure | Judicial Economy in the Age of AI | 574 | machine-drafted-source-checked |
| ssrn-4873649-p078 | exhaustion serves both agency authority and judicial-efficiency rationales | Judicial Economy in the Age of AI | 574 | machine-drafted-source-checked |
| ssrn-4873649-p079 | only a small fraction of discrimination charges appear to become federal lawsuits | Judicial Economy in the Age of AI | 574 | machine-drafted-source-checked |
| ssrn-4873649-p080 | the Supreme Court selected a stricter causation standard for retaliation partly out of floodgate concerns | Judicial Economy in the Age of AI | 575 | machine-drafted-source-checked |
| ssrn-4873649-p081 | statutes of limitations sometimes operate as volume and quality controls rather than only as evidence-preservation rules | Judicial Economy in the Age of AI | 575 | machine-drafted-source-checked |
| ssrn-4873649-p082 | legal thermostats commonly work by adding friction with an often-unverified hope that weaker claims will be deterred | Judicial Economy in the Age of AI | 575 | machine-drafted-source-checked |
| ssrn-4873649-p083 | AI makes some existing thermostats fragile by helping users meet deadlines, exhaust remedies, and draft plausible pleadings | Judicial Economy in the Age of AI | 576 | machine-drafted-source-checked |
| ssrn-4873649-p084 | plausibility pleading filters poor framing and polish as well as genuinely implausible claims | Judicial Economy in the Age of AI | 576 | machine-drafted-source-checked |
| ssrn-4873649-p085 | a doubling of litigation volume is plausible but the forecast is expressly falsifiable | Judicial Economy in the Age of AI | 576 | machine-drafted-source-checked |
| ssrn-4873649-p086 | AI is likely to increase both the number and intricacy of legal filings | Judicial Economy in the Age of AI | 577 | machine-drafted-source-checked |
| ssrn-4873649-p087 | courts could respond by increasing fees, heightening pleading demands, or narrowing substantive rights | Judicial Economy in the Age of AI | 577 | machine-drafted-source-checked |
| ssrn-4873649-p088 | the best available time before a litigation boom should be used to build and test court-side AI | Judicial Economy in the Age of AI | 577 | machine-drafted-source-checked |
| ssrn-4873649-p089 | higher court fees are a crude filter with disproportionate effects on people who lack capital | Judicial Economy in the Age of AI | 578 | machine-drafted-source-checked |
| ssrn-4873649-p090 | pleading standards can be understood as proof-of-work mechanisms | Judicial Economy in the Age of AI | 578 | machine-drafted-source-checked |
| ssrn-4873649-p091 | word limits are also crude judicial-economy tools and are not robust to AI | Judicial Economy in the Age of AI | 578 | machine-drafted-source-checked |
| ssrn-4873649-p092 | generative AI undermines pleading proof of work by converting vague claims into polished legal arguments | Judicial Economy in the Age of AI | 579 | machine-drafted-source-checked |
| ssrn-4873649-p093 | AI hallucinations can make a weak filing appear facially plausible | Judicial Economy in the Age of AI | 579 | machine-drafted-source-checked |
| ssrn-4873649-p094 | judges can conserve resources by quietly demanding more through substantive standards | Judicial Economy in the Age of AI | 579 | machine-drafted-source-checked |
| ssrn-4873649-p095 | thermostat adjustment can narrow civil rights and subsidize wrongdoing | Judicial Economy in the Age of AI | 580 | machine-drafted-source-checked |
| ssrn-4873649-p096 | AI-vulnerable thermostats may require repeated escalation | Judicial Economy in the Age of AI | 580 | machine-drafted-source-checked |
| ssrn-4873649-p097 | waiting is understandable because AI capabilities and adoption patterns remain uncertain | Judicial Economy in the Age of AI | 580 | machine-drafted-source-checked |
| ssrn-4873649-p098 | the identity of dominant AI litigants will shape the technology's normative effects | Judicial Economy in the Age of AI | 581 | machine-drafted-source-checked |
| ssrn-4873649-p099 | unreliability is a reason for staged development and testing rather than passive observation | Judicial Economy in the Age of AI | 581 | machine-drafted-source-checked |
| ssrn-4873649-p100 | court technology can improve justice even if the predicted litigation boom proves smaller than expected | Judicial Economy in the Age of AI | 581 | machine-drafted-source-checked |
| ssrn-4873649-p101 | a durable courtroom ban on generative AI would sacrifice the technology's democratizing potential | Judicial Economy in the Age of AI | 582 | machine-drafted-source-checked |
| ssrn-4873649-p102 | AI-text disclosure regimes are difficult to enforce because detection is probabilistic and easy to evade | Judicial Economy in the Age of AI | 582 | machine-drafted-source-checked |
| ssrn-4873649-p103 | ubiquitous AI integration will make generic disclosure as uninformative as disclosing use of a computer or search engine | Judicial Economy in the Age of AI | 582 | machine-drafted-source-checked |
| ssrn-4873649-p104 | the direct response to greater demand for justice is to increase judicial resources | Judicial Economy in the Age of AI | 583 | machine-drafted-source-checked |
| ssrn-4873649-p105 | funding sufficient to meet a twofold or fivefold caseload increase is politically tenuous | Judicial Economy in the Age of AI | 583 | machine-drafted-source-checked |
| ssrn-4873649-p106 | redirecting legal-aid budgets to courts would at most supply limited additional capacity | Judicial Economy in the Age of AI | 583 | machine-drafted-source-checked |
| ssrn-4873649-p107 | hollowing out legal aid to fund courts would scratch only the surface if AI meaningfully increases demand | Judicial Economy in the Age of AI | 584 | machine-drafted-source-checked |
| ssrn-4873649-p108 | court-side AI integration can amplify the productivity of judges and clerks | Judicial Economy in the Age of AI | 584 | machine-drafted-source-checked |
| ssrn-4873649-p109 | judicial use of generative AI is already emerging organically | Judicial Economy in the Age of AI | 584 | machine-drafted-source-checked |
| ssrn-4873649-p110 | Judge Newsom's use of generative interpretation shows AI entering mainstream interpretive practice | Judicial Economy in the Age of AI | 585 | machine-drafted-source-checked |
| ssrn-4873649-p111 | robo-judging should not be the central frame for thinking about court AI | Judicial Economy in the Age of AI | 585 | machine-drafted-source-checked |
| ssrn-4873649-p112 | a human-in-the-loop design can address much of the ethical concern about nonhuman adjudication | Judicial Economy in the Age of AI | 585 | machine-drafted-source-checked |
| ssrn-4873649-p113 | summarization is a central court-side use case because litigation produces overwhelming volumes of text | Judicial Economy in the Age of AI | 586 | machine-drafted-source-checked |
| ssrn-4873649-p114 | abstractive and extractive summaries serve different judicial needs | Judicial Economy in the Age of AI | 586 | machine-drafted-source-checked |
| ssrn-4873649-p115 | court-generated summaries can be less strategically framed than party-written summaries | Judicial Economy in the Age of AI | 586 | machine-drafted-source-checked |
| ssrn-4873649-p116 | automated summaries could be integrated at the case-management layer for every submitted document | Judicial Economy in the Age of AI | 587 | machine-drafted-source-checked |
| ssrn-4873649-p117 | extractive summaries can surface decisive clauses, evidence, authorities, and quotations | Judicial Economy in the Age of AI | 587 | machine-drafted-source-checked |
| ssrn-4873649-p118 | document Q&A changes legal research from keyword engineering to natural-language inquiry | Judicial Economy in the Age of AI | 587 | machine-drafted-source-checked |
| ssrn-4873649-p119 | document Q&A can identify facts and issues across a filing with little user training | Judicial Economy in the Age of AI | 588 | machine-drafted-source-checked |
| ssrn-4873649-p120 | document Q&A is best understood as an earnest on-call attorney of middling ability | Judicial Economy in the Age of AI | 588 | machine-drafted-source-checked |
| ssrn-4873649-p121 | LLMs may overstate confidence, degrade on long documents, and invite users to delegate judgment | Judicial Economy in the Age of AI | 588 | machine-drafted-source-checked |
| ssrn-4873649-p122 | AI limitations are tool-management problems rather than categorical objections to use | Judicial Economy in the Age of AI | 589 | machine-drafted-source-checked |
| ssrn-4873649-p123 | important AI-provided facts should be verified against the underlying record | Judicial Economy in the Age of AI | 589 | machine-drafted-source-checked |
| ssrn-4873649-p124 | court AI requires confidentiality solutions because many models are hosted by commercial cloud providers | Judicial Economy in the Age of AI | 589 | machine-drafted-source-checked |
| ssrn-4873649-p125 | on-premise hosting, secure clouds, licensing, encryption, and legal standards can mitigate privacy risk | Judicial Economy in the Age of AI | 590 | machine-drafted-source-checked |
| ssrn-4873649-p126 | generative interpretation can use language models as reproducible tools for ordinary-meaning analysis | Judicial Economy in the Age of AI | 590 | machine-drafted-source-checked |
| ssrn-4873649-p127 | LLMs can distinguish context-dependent meanings that dictionaries present as disconnected definitions | Judicial Economy in the Age of AI | 590 | machine-drafted-source-checked |
| ssrn-4873649-p128 | AI opinion drafting can threaten deliberation, authorship, rhetoric, and public legitimacy | Judicial Economy in the Age of AI | 591 | machine-drafted-source-checked |
| ssrn-4873649-p129 | the force of authorship objections varies along a spectrum from spell-checking to robo-judging | Judicial Economy in the Age of AI | 591 | machine-drafted-source-checked |
| ssrn-4873649-p130 | the practical choice may be between intelligent assistance and blind doctrinal algorithms rather than between algorithms and no algorithms | Judicial Economy in the Age of AI | 591 | machine-drafted-source-checked |
| ssrn-4873649-p131 | fee increases and rights restrictions are blind algorithms that exclude litigants regardless of merit | Judicial Economy in the Age of AI | 592 | machine-drafted-source-checked |
| ssrn-4873649-p132 | thoughtful AI integration can outperform mechanical and politically manipulated thermostat adjustments | Judicial Economy in the Age of AI | 592 | machine-drafted-source-checked |
| ssrn-4873649-p133 | access to justice is only a prelude to the delivery of justice | Judicial Economy in the Age of AI | 592 | machine-drafted-source-checked |
| ssrn-4873649-p134 | historical responses to litigation surges warn that new demand can produce contraction of procedural and substantive rights | Judicial Economy in the Age of AI | 593 | machine-drafted-source-checked |
| ssrn-4873649-p135 | legal scholars should collaborate with judges, administrators, and technologists on positive court-AI use cases | Judicial Economy in the Age of AI | 593 | machine-drafted-source-checked |
| ssrn-4873649-p136 | judicial economy ultimately requires choosing how much justice to fund and whether automation should stretch those resources | Judicial Economy in the Age of AI | 593 | machine-drafted-source-checked |
| ssrn-4204862-p01 | The contemporary misinformation problem persists despite legal sanctions because online speakers can be anonymous, beyond practical jurisdiction, judgment-proof, or outside any plaintiff's cause of action | Truth Bounties: A Market Solution to Fake News | 3-4 | machine-drafted-source-checked |
| ssrn-4204862-p02 | Proposals against misinformation can be organized into three strategies: increase the supply of true information, decrease the supply of false information, or help audiences distinguish between the two | Truth Bounties: A Market Solution to Fake News | 4-5 | machine-drafted-source-checked |
| ssrn-4204862-p03 | The marketplace of ideas suffers from two distinct failures, spillovers and information asymmetry, which require different corrective mechanisms | Truth Bounties: A Market Solution to Fake News | 5-6 | machine-drafted-source-checked |
| ssrn-4204862-p04 | Truth bounties can address both market failures by making low-quality information costlier while giving truthful speakers a visible, pre-circulation credibility signal | Truth Bounties: A Market Solution to Fake News | 5-7 | machine-drafted-source-checked |
| ssrn-4204862-p05 | An open challenge system can overcome the narrow standing, territorial, and enforcement limits of defamation litigation | Truth Bounties: A Market Solution to Fake News | 6-7 | machine-drafted-source-checked |
| ssrn-4204862-p06 | Truth bounties offer a market-design position between laissez-faire and centralized speech control | Truth Bounties: A Market Solution to Fake News | 7-8 | machine-drafted-source-checked |
| ssrn-4204862-p07 | Digital publishing, social media, weakened journalism, and synthetic media have made both producing misinformation and judging veracity easier and harder in asymmetric ways | Truth Bounties: A Market Solution to Fake News | 9-10 | machine-drafted-source-checked |
| ssrn-4204862-p08 | Subsidies, public-service media, fairness obligations, and intellectual-property rights are attempts to enlarge the numerator of truthful information | Truth Bounties: A Market Solution to Fake News | 10-12 | machine-drafted-source-checked |
| ssrn-4204862-p09 | A royalty or property right for news can perversely steer platforms toward free misinformation and reduce the circulation of accurate reporting | Truth Bounties: A Market Solution to Fake News | 11-12 | machine-drafted-source-checked |
| ssrn-4204862-p10 | Stricter defamation rules cannot serve as a general misinformation remedy because the tort reaches only certain false, reputation-harming statements and poses serious chilling and truth-error risks | Truth Bounties: A Market Solution to Fake News | 12-15 | machine-drafted-source-checked |
| ssrn-4204862-p11 | Platform curation and censorship concentrate difficult truth judgments in institutions that face competence, transparency, bias, timing, and abuse problems | Truth Bounties: A Market Solution to Fake News | 13-15 | machine-drafted-source-checked |
| ssrn-4204862-p12 | Labels and fact-checking generally make less dangerous errors than suppression because audiences retain access to the underlying communication | Truth Bounties: A Market Solution to Fake News | 16 | machine-drafted-source-checked |
| ssrn-4204862-p13 | Explanations focused only on defective speakers miss the demand side of misinformation and therefore the equilibrium of the information market | Truth Bounties: A Market Solution to Fake News | 17 | machine-drafted-source-checked |
| ssrn-4204862-p14 | The marketplace of ideas fails through both positive and negative speech spillovers | Truth Bounties: A Market Solution to Fake News | 17-18 | machine-drafted-source-checked |
| ssrn-4204862-p15 | Correcting speech spillovers requires precision because underpricing leaves harmful conduct undeterred while overpricing suppresses beneficial conduct | Truth Bounties: A Market Solution to Fake News | 19-20 | machine-drafted-source-checked |
| ssrn-4204862-p16 | A journalism subsidy set too high may finance wasteful investigation, rent-seeking competition, formulaic compliance, or partisan misinformation | Truth Bounties: A Market Solution to Fake News | 20 | machine-drafted-source-checked |
| ssrn-4204862-p17 | Expanding defamation liability can both underdeter falsehood and overchill journalism when courts misprice harm | Truth Bounties: A Market Solution to Fake News | 20-21 | machine-drafted-source-checked |
| ssrn-4204862-p18 | Defamation damages systematically omit harms to audiences and the public because the tort centers compensation on the reputational target | Truth Bounties: A Market Solution to Fake News | 21 | machine-drafted-source-checked |
| ssrn-4204862-p19 | Information asymmetry creates a two-sided credibility problem in which listeners cannot identify reliable sources and honest speakers cannot separate themselves from propagandists | Truth Bounties: A Market Solution to Fake News | 21-22 | machine-drafted-source-checked |
| ssrn-4204862-p20 | Credibility is logically prior to many misinformation spillovers because a known liar's speech would not alter audience behavior | Truth Bounties: A Market Solution to Fake News | 22-23 | machine-drafted-source-checked |
| ssrn-4204862-p21 | Humans are imperfect but often sophisticated judges of source reliability who track past accuracy, context, incentives, and costly cues | Truth Bounties: A Market Solution to Fake News | 23-25 | machine-drafted-source-checked |
| ssrn-4204862-p22 | Motivated reasoning and persistent attitudes qualify but do not erase audiences' capacity for credibility assessment | Truth Bounties: A Market Solution to Fake News | 24-25 | machine-drafted-source-checked |
| ssrn-4204862-p23 | Truth labels introduce a second credibility question—whether the labeler is competent and unbiased—while trying to answer whether the underlying story is credible | Truth Bounties: A Market Solution to Fake News | 25-26 | machine-drafted-source-checked |
| ssrn-4204862-p24 | Selectively labeling false stories can create an implied-truth effect that increases belief in unreviewed, unlabeled stories | Truth Bounties: A Market Solution to Fake News | 25-26 | machine-drafted-source-checked |
| ssrn-4204862-p25 | Comprehensive real-time labeling is infeasible under decentralized global information production, and algorithms do not eliminate the trust problem | Truth Bounties: A Market Solution to Fake News | 26 | machine-drafted-source-checked |
| ssrn-4204862-p26 | Censorship and subsidies can increase trust in the remaining information and thereby make the falsehoods that survive more persuasive | Truth Bounties: A Market Solution to Fake News | 26-27 | machine-drafted-source-checked |
| ssrn-4204862-p27 | Effective defamation law can increase trust in published accusations, giving law persuasive power apart from its deterrent and compensatory roles | Truth Bounties: A Market Solution to Fake News | 27-28 | machine-drafted-source-checked |
| ssrn-4204862-p28 | Defamation liability produces a low-resolution credibility signal because audiences cannot observe or predict the speaker's expected sanction | Truth Bounties: A Market Solution to Fake News | 28 | machine-drafted-source-checked |
| ssrn-4204862-p29 | When defamation law is perceived as effective, a victim's failure to sue can falsely signal that an accusation is true | Truth Bounties: A Market Solution to Fake News | 28 | machine-drafted-source-checked |
| ssrn-4204862-p30 | Defamation's binary publish-or-withhold incentives discourage journalists from communicating calibrated uncertainty | Truth Bounties: A Market Solution to Fake News | 28-29 | machine-drafted-source-checked |
| ssrn-4204862-p31 | A promising misinformation intervention should operate before circulation, at scale, consistently with free-speech law, and in a way that directly improves credibility | Truth Bounties: A Market Solution to Fake News | 29 | machine-drafted-source-checked |
| ssrn-4204862-p32 | A truth bounty is a voluntary conditional payment that a speaker loses if a communication is shown materially false | Truth Bounties: A Market Solution to Fake News | 30 | machine-drafted-source-checked |
| ssrn-4204862-p33 | Sanctions can benefit honest information producers by making their claims credible, not merely punish wrongdoers | Truth Bounties: A Market Solution to Fake News | 30-31 | machine-drafted-source-checked |
| ssrn-4204862-p34 | Existing law cannot force most producers of general political and public-interest information to put meaningful skin in the game | Truth Bounties: A Market Solution to Fake News | 31-32 | machine-drafted-source-checked |
| ssrn-4204862-p35 | Voluntary truth bounties use a carrot—the credibility benefit of a visible bond—to induce speakers to accept conditional liability | Truth Bounties: A Market Solution to Fake News | 32 | machine-drafted-source-checked |
| ssrn-4204862-p36 | The bounty amount presents a Goldilocks problem because a trivial stake lacks credibility while an enormous stake excludes speakers and chills reasonable error | Truth Bounties: A Market Solution to Fake News | 32-33 | machine-drafted-source-checked |
| ssrn-4204862-p37 | Speaker-selected bounty amounts provide calibrated and resource-sensitive signals, while system-set amounts offer consistency and easier audience interpretation | Truth Bounties: A Market Solution to Fake News | 32-33 | machine-drafted-source-checked |
| ssrn-4204862-p38 | Escrow is the simplest funding mechanism, but collateral and third-party underwriting may be necessary for mass publishers to operate at scale | Truth Bounties: A Market Solution to Fake News | 33 | machine-drafted-source-checked |
| ssrn-4204862-p39 | A standardized icon can turn the hidden contractual stake into an immediately legible public credibility signal | Truth Bounties: A Market Solution to Fake News | 33 | machine-drafted-source-checked |
| ssrn-4204862-p40 | Any member of the public should be able to challenge any bountied communication, with a filing fee that makes challengers put skin in the game | Truth Bounties: A Market Solution to Fake News | 34-35 | machine-drafted-source-checked |
| ssrn-4204862-p41 | A preliminary plausibility review should screen incoherent or unsupported claims before costly arbitration | Truth Bounties: A Market Solution to Fake News | 35 | machine-drafted-source-checked |
| ssrn-4204862-p42 | Private arbitration can adjudicate voluntary truth-bounty disputes without compelling political speakers into a state truth tribunal | Truth Bounties: A Market Solution to Fake News | 35-36 | machine-drafted-source-checked |
| ssrn-4204862-p43 | Party selection of two arbitrators who choose a third can reduce actual and perceived bias | Truth Bounties: A Market Solution to Fake News | 35-36 | machine-drafted-source-checked |
| ssrn-4204862-p44 | The operative promise should be that information, taken as a whole, is materially accurate and not misleading—not that every detail is eternally and absolutely true | Truth Bounties: A Market Solution to Fake News | 36 | machine-drafted-source-checked |
| ssrn-4204862-p45 | Truth-bounty adjudication should be time-bound to the information reasonably available when the speaker posted the bounty | Truth Bounties: A Market Solution to Fake News | 36 | machine-drafted-source-checked |
| ssrn-4204862-p46 | Accuracy and nonmisleadingness must be independent requirements because literally true statements can deceive through omission or selective context | Truth Bounties: A Market Solution to Fake News | 36-37 | machine-drafted-source-checked |
| ssrn-4204862-p47 | Preponderance of the evidence is an appropriate burden when combined with a challenge fee, plausibility review, and loser-pays costs | Truth Bounties: A Market Solution to Fake News | 37 | machine-drafted-source-checked |
| ssrn-4204862-p48 | Truth adjudication faces an unavoidable cost-error tradeoff between inexpensive informal process and accurate formal process | Truth Bounties: A Market Solution to Fake News | 37-38 | machine-drafted-source-checked |
| ssrn-4204862-p49 | The inevitable uncertainty of materiality judgments can induce speakers to investigate more, distinguish fact from opinion, and qualify borderline claims | Truth Bounties: A Market Solution to Fake News | 38 | machine-drafted-source-checked |
| ssrn-4204862-p50 | Awarding a successful challenger the full bounty outsources the search for falsity to dispersed readers with knowledge and motivation | Truth Bounties: A Market Solution to Fake News | 38-39 | machine-drafted-source-checked |
| ssrn-4204862-p51 | Loser-pays arbitration costs should discourage weak challenges and concentrate resources on clear falsehoods | Truth Bounties: A Market Solution to Fake News | 39 | machine-drafted-source-checked |
| ssrn-4204862-p52 | Publicizing every challenge and outcome through changing icons and accessible opinions makes adjudication itself part of the credibility signal | Truth Bounties: A Market Solution to Fake News | 39-40 | machine-drafted-source-checked |
| ssrn-4204862-p53 | Longitudinal records for speakers and challengers can produce more informative credibility judgments than a single bounty amount | Truth Bounties: A Market Solution to Fake News | 40 | machine-drafted-source-checked |
| ssrn-4204862-p54 | Widespread truth bounties could create a separating equilibrium in which bonded speech earns trust and unbonded speech becomes suspect | Truth Bounties: A Market Solution to Fake News | 40-41 | machine-drafted-source-checked |
| ssrn-4204862-p55 | News organizations could use truth bounties to purchase credibility, differentiate products, attract subscribers, and cap part of their publication risk | Truth Bounties: A Market Solution to Fake News | 41-42 | machine-drafted-source-checked |
| ssrn-4204862-p56 | Truth bounties can convert factual campaign claims from norm-violating personal bets or cheap accusations into publicly verifiable institutional commitments | Truth Bounties: A Market Solution to Fake News | 42-44 | machine-drafted-source-checked |
| ssrn-4204862-p57 | The Republican National Committee's one-million-dollar truth offer demonstrates both latent demand for credibility and the need for a first-claimant rule | Truth Bounties: A Market Solution to Fake News | 43-44 | machine-drafted-source-checked |
| ssrn-4204862-p58 | Truth bounties can generalize product warranties to factual advertising claims that existing false-advertising law reaches only imperfectly | Truth Bounties: A Market Solution to Fake News | 44-45 | machine-drafted-source-checked |
| ssrn-4204862-p59 | Unstructured public wagers are unreliable credibility devices because ordinary contract doctrine may treat them as parody, hyperbole, or indefinite puffery | Truth Bounties: A Market Solution to Fake News | 44-45 | machine-drafted-source-checked |
| ssrn-4204862-p60 | A strong puffery defense can burden honest businesses by making all advertising cheaper to utter and therefore less credible | Truth Bounties: A Market Solution to Fake News | 45 | machine-drafted-source-checked |
| ssrn-4204862-p61 | Once truth bounties become a market norm, competitive pressure for credibility can make the institution self-sustaining | Truth Bounties: A Market Solution to Fake News | 46 | machine-drafted-source-checked |
| ssrn-4204862-p62 | At the current policy margin, voluntary contractual bounties are preferable to blunt expansion of defamation and related tort liability | Truth Bounties: A Market Solution to Fake News | 47-49 | machine-drafted-source-checked |
| ssrn-4204862-p63 | Truth bounties can weaken echo chambers by shifting the audience's heuristic from source-wide loyalty to claim-specific bonding | Truth Bounties: A Market Solution to Fake News | 47-48 | machine-drafted-source-checked |
| ssrn-4204862-p64 | Truth bounties operate as a transparent tax on falsehood through both higher production cost and reduced demand for unbonded misinformation | Truth Bounties: A Market Solution to Fake News | 47-48 | machine-drafted-source-checked |
| ssrn-4204862-p65 | Truth bounties should supplement rather than replace defamation law, leaving existing victims' rights intact while increasing opportunities for public vindication | Truth Bounties: A Market Solution to Fake News | 48-49 | machine-drafted-source-checked |
| ssrn-4204862-p66 | Voluntary truth bounties can cover constitutionally protected domains because speakers choose the contractual exposure rather than having government impose a sanction for speech | Truth Bounties: A Market Solution to Fake News | 49 | machine-drafted-source-checked |
| ssrn-4204862-p67 | Truth bounties can provide consumers a zero-price sorting tool and honest speakers a refundable, resource-tailored signal rather than an irrecoverable speech fee | Truth Bounties: A Market Solution to Fake News | 49-50 | machine-drafted-source-checked |
| ssrn-4204862-p68 | Third-party funding and crowdfunding can reduce the access barrier created by challenge fees | Truth Bounties: A Market Solution to Fake News | 50 | machine-drafted-source-checked |
| ssrn-4204862-p69 | Truth bounties may lower reputational entry barriers for small or new publishers | Truth Bounties: A Market Solution to Fake News | 50 | machine-drafted-source-checked |
| ssrn-4204862-p70 | Wealthy liars cannot reliably buy credibility with bounties because the necessary stakes scale with wealth, repeated losses accumulate, and public histories reveal strategic falsehood | Truth Bounties: A Market Solution to Fake News | 50-51 | machine-drafted-source-checked |
| ssrn-4204862-p71 | Truth bounties occupy an intermediate institutional space between information laissez-faire and top-down government or platform regulation | Truth Bounties: A Market Solution to Fake News | 51-52 | machine-drafted-source-checked |
| ssrn-4204862-p72 | Speaker control over whether and how much to pledge respects autonomy more than one-size-fits-all tort or criminal exposure | Truth Bounties: A Market Solution to Fake News | 52 | machine-drafted-source-checked |
| ssrn-4204862-p73 | Private truth-bounty institutions would remain embedded in public legal infrastructure even while avoiding direct governmental truth adjudication | Truth Bounties: A Market Solution to Fake News | 52-53 | machine-drafted-source-checked |
| ssrn-4204862-p74 | The novelty of truth bounties lies in a private, autonomy-preserving mechanism for making false speech costly and truthful confidence visible | Truth Bounties: A Market Solution to Fake News | 53 | machine-drafted-source-checked |
| ssrn-4809006-p01 | contract interpretation estimates what parties separated from adjudicators by time meant to say or would have said about a contingency | Time and Contract Interpretation | 1 | machine-drafted-source-checked |
| ssrn-4809006-p02 | machine learning offers useful conceptual tools because it is a field organized around building and evaluating prediction models | Time and Contract Interpretation | 1 | machine-drafted-source-checked |
| ssrn-4809006-p03 | interpretation-as-prediction is a better organizing frame than treating contract interpretation solely as a philosophical search for linguistic meaning | Time and Contract Interpretation | 1 | machine-drafted-source-checked |
| ssrn-4809006-p04 | textualists and contextualists can both claim superior accuracy because they conflate accuracy with precision | Time and Contract Interpretation | 1 | machine-drafted-source-checked |
| ssrn-4809006-p05 | the bias-variance tradeoff helps explain the costs of interpretive simplicity and complexity | Time and Contract Interpretation | 1 | machine-drafted-source-checked |
| ssrn-4809006-p06 | purpose simulation is more important and less understood than conventional meaning-focused interpretation | Time and Contract Interpretation | 1 | machine-drafted-source-checked |
| ssrn-4809006-p07 | time is the source of interpretive conflict because contracts regulate an unpredictable future | Time and Contract Interpretation | 2 | machine-drafted-source-checked |
| ssrn-4809006-p08 | contracting parties plan against the erosion caused by new information, shifting preferences, and changed environments | Time and Contract Interpretation | 2 | machine-drafted-source-checked |
| ssrn-4809006-p09 | the parties' agreement is often distributed across documents, practices, norms, advice, and culture rather than contained in one canonical text | Time and Contract Interpretation | 2-3 | machine-drafted-source-checked |
| ssrn-4809006-p10 | parties cannot plan for every contingency, and black-swan events can separate what they wrote from what they would have wanted | Time and Contract Interpretation | 3 | machine-drafted-source-checked |
| ssrn-4809006-p11 | interpretation as prediction asks how the parties would have allocated rights and liabilities had they discussed the present contingency at formation | Time and Contract Interpretation | 3 | machine-drafted-source-checked |
| ssrn-4809006-p12 | legal interpretation shares enough structure with prediction disciplines to permit productive conceptual borrowing | Time and Contract Interpretation | 3-4 | machine-drafted-source-checked |
| ssrn-4809006-p13 | the linguistic theory seeks to establish the meaning of expressions, whereas the predictive theory seeks to estimate party intent | Time and Contract Interpretation | 3-4 | machine-drafted-source-checked |
| ssrn-4809006-p14 | contextualist reliance on linguistic indeterminacy often uses a motte-and-bailey move | Time and Contract Interpretation | 4 | machine-drafted-source-checked |
| ssrn-4809006-p15 | interpretive methods should be compared through partial and measurable performance rather than claims to perfect correctness | Time and Contract Interpretation | 4 | machine-drafted-source-checked |
| ssrn-4809006-p16 | bias and variance provide a second way to evaluate interpretive models beyond the precision-accuracy distinction | Time and Contract Interpretation | 4 | machine-drafted-source-checked |
| ssrn-4809006-p17 | meaning prediction and purpose simulation are different interpretive modalities with different data and normative implications | Time and Contract Interpretation | 4 | machine-drafted-source-checked |
| ssrn-4809006-p18 | modern doctrine generally states that interpretation seeks the parties' intention at the time of contract formation | Time and Contract Interpretation | 4-5 | machine-drafted-source-checked |
| ssrn-4809006-p19 | contract theory may posit a correct interpretive answer even though courts disagree about how to operationalize the search | Time and Contract Interpretation | 5 | machine-drafted-source-checked |
| ssrn-4809006-p20 | textualism uses a relatively restricted evidentiary set centered on the final document | Time and Contract Interpretation | 5 | machine-drafted-source-checked |
| ssrn-4809006-p21 | textualists consider internal context but ordinarily reach outside the document only for unavoidable ambiguity or voidability | Time and Contract Interpretation | 5 | machine-drafted-source-checked |
| ssrn-4809006-p22 | contextualism treats the contractual text as important but admits a much broader body of potentially probative evidence | Time and Contract Interpretation | 5 | machine-drafted-source-checked |
| ssrn-4809006-p23 | purposive interpretation asks why the parties adopted a term, while literal interpretation asks what the language means | Time and Contract Interpretation | 6 | machine-drafted-source-checked |
| ssrn-4809006-p24 | purposivism and literalism can combine with either textualism or contextualism | Time and Contract Interpretation | 6 | machine-drafted-source-checked |
| ssrn-4809006-p25 | American scholars tend toward contextualism while courts tend toward textualism | Time and Contract Interpretation | 6-7 | machine-drafted-source-checked |
| ssrn-4809006-p26 | the linguistic model seeks word meaning, whereas the predictive model uses any reliable source to estimate what the parties wanted to mean | Time and Contract Interpretation | 7 | machine-drafted-source-checked |
| ssrn-4809006-p27 | the predictive approach is bottom-up, empirical, and committed to fidelity rather than metaphysical purity | Time and Contract Interpretation | 7 | machine-drafted-source-checked |
| ssrn-4809006-p28 | the best interpretive method can depend on institutional strength | Time and Contract Interpretation | 7 | machine-drafted-source-checked |
| ssrn-4809006-p29 | contract interpretation is probabilistic and uncertain even when doctrine speaks in categorical terms | Time and Contract Interpretation | 7 | machine-drafted-source-checked |
| ssrn-4809006-p30 | contextualists often move from the true claim that context shapes meaning to the unsupported claim that broad extrinsic evidence must be admitted | Time and Contract Interpretation | 7-8 | machine-drafted-source-checked |
| ssrn-4809006-p31 | every sentence operates within interpretive assumptions and a situation | Time and Contract Interpretation | 8 | machine-drafted-source-checked |
| ssrn-4809006-p32 | language's indeterminacy does not logically entail admitting testimony, trade usage, or every circumstance surrounding formation | Time and Contract Interpretation | 8-9 | machine-drafted-source-checked |
| ssrn-4809006-p33 | a jurisprudence requiring all context produces an infinite regress with no principled stopping point | Time and Contract Interpretation | 9 | machine-drafted-source-checked |
| ssrn-4809006-p34 | even committed contextualists ultimately accept a good-enough probabilistic approximation | Time and Contract Interpretation | 9-10 | machine-drafted-source-checked |
| ssrn-4809006-p35 | the strongest case for contextualism is that context improves predictions of actual party intent | Time and Contract Interpretation | 10 | machine-drafted-source-checked |
| ssrn-4809006-p36 | the strongest case for textualism is that a cheap, constrained method can be sufficiently accurate | Time and Contract Interpretation | 10 | machine-drafted-source-checked |
| ssrn-4809006-p37 | cost- and fairness-weighted predictive accuracy supplies a common benchmark for interpretive methods | Time and Contract Interpretation | 10 | machine-drafted-source-checked |
| ssrn-4809006-p38 | interpretive debates use accuracy ambiguously, allowing both sides to claim victory | Time and Contract Interpretation | 11 | machine-drafted-source-checked |
| ssrn-4809006-p39 | Varney v. Ditmars turns the phrase fair share of profits into a test of interpretive performance | Time and Contract Interpretation | 11 | machine-drafted-source-checked |
| ssrn-4809006-p40 | the Varney majority chose the only allocation certainly inconsistent with an agreement to share some profits | Time and Contract Interpretation | 11-12 | machine-drafted-source-checked |
| ssrn-4809006-p41 | Varney can be reconstructed as a penalty default sacrificing current accuracy to induce clearer future drafting | Time and Contract Interpretation | 12 | machine-drafted-source-checked |
| ssrn-4809006-p42 | the proposed penalty default in Varney targets the wrong drafter when employers control employment agreements | Time and Contract Interpretation | 12 | machine-drafted-source-checked |
| ssrn-4809006-p43 | a textualist court could enforce a rough general understanding of fair share even if it misses the industry's exact custom | Time and Contract Interpretation | 12 | machine-drafted-source-checked |
| ssrn-4809006-p44 | contextual evidence may bring a court closer to industry custom while also widening the range of possible outcomes | Time and Contract Interpretation | 12-13 | machine-drafted-source-checked |
| ssrn-4809006-p45 | textualism can be precise even when biased away from the parties' likely intent | Time and Contract Interpretation | 13 | machine-drafted-source-checked |
| ssrn-4809006-p46 | contextualism can be more accurate on average but less precise across cases | Time and Contract Interpretation | 13 | machine-drafted-source-checked |
| ssrn-4809006-p47 | precision alone can be maximized by an arbitrary rule | Time and Contract Interpretation | 13-14 | machine-drafted-source-checked |
| ssrn-4809006-p48 | interpretive methods should be compared along a frontier where both precision and accuracy can improve | Time and Contract Interpretation | 14 | machine-drafted-source-checked |
| ssrn-4809006-p49 | the desired balance between precision and accuracy depends on normative commitments | Time and Contract Interpretation | 14 | machine-drafted-source-checked |
| ssrn-4809006-p50 | commercial parties may value precision because it supports planning and settlement | Time and Contract Interpretation | 14 | machine-drafted-source-checked |
| ssrn-4809006-p51 | risk neutrality does not make interpretive bias irrelevant | Time and Contract Interpretation | 14-15 | machine-drafted-source-checked |
| ssrn-4809006-p52 | contextualism's greater evidentiary breadth may improve the mean accuracy of interpretation | Time and Contract Interpretation | 15 | machine-drafted-source-checked |
| ssrn-4809006-p53 | textualism retains a distinct advantage in predictability even if contextualism is more accurate | Time and Contract Interpretation | 15 | machine-drafted-source-checked |
| ssrn-4809006-p54 | additional extrinsic evidence can have negative marginal informational value | Time and Contract Interpretation | 15-16 | machine-drafted-source-checked |
| ssrn-4809006-p55 | evidence law already recognizes that relevant information can reduce decision quality | Time and Contract Interpretation | 16 | machine-drafted-source-checked |
| ssrn-4809006-p56 | interpretive processes are models that transform evidentiary inputs into predicted outcomes | Time and Contract Interpretation | 16 | machine-drafted-source-checked |
| ssrn-4809006-p57 | textualism is relatively low complexity because it limits features to text and a small set of linguistic tools | Time and Contract Interpretation | 16 | machine-drafted-source-checked |
| ssrn-4809006-p58 | contextualism is high complexity because the parties can introduce an open-ended set of circumstances | Time and Contract Interpretation | 16 | machine-drafted-source-checked |
| ssrn-4809006-p59 | prediction error can be decomposed conceptually into bias, variance, and irreducible error | Time and Contract Interpretation | 16-17 | machine-drafted-source-checked |
| ssrn-4809006-p60 | a simple winter-umbrella rule illustrates underfitting and predictable bias | Time and Contract Interpretation | 17 | machine-drafted-source-checked |
| ssrn-4809006-p61 | a highly detailed umbrella rule can fit historical weather perfectly and fail on new conditions | Time and Contract Interpretation | 17 | machine-drafted-source-checked |
| ssrn-4809006-p62 | optimal model complexity lies between underfitting and overfitting | Time and Contract Interpretation | 18 | machine-drafted-source-checked |
| ssrn-4809006-p63 | interpretive decisions participate in a feedback loop among courts, precedents, and contract drafters | Time and Contract Interpretation | 18 | machine-drafted-source-checked |
| ssrn-4809006-p64 | radical textualism produces systematic bias by excluding information necessary to understand contractual language | Time and Contract Interpretation | 18-19 | machine-drafted-source-checked |
| ssrn-4809006-p65 | contextual evidence can reduce textualist bias while introducing variance | Time and Contract Interpretation | 18-19 | machine-drafted-source-checked |
| ssrn-4809006-p66 | context-heavy precedents may overfit earlier disputes and mislead later courts | Time and Contract Interpretation | 19 | machine-drafted-source-checked |
| ssrn-4809006-p67 | requiring each contextualist court to start from a blank slate is unrealistic and duplicative | Time and Contract Interpretation | 19 | machine-drafted-source-checked |
| ssrn-4809006-p68 | intermediate interpretive approaches are preferable to radical textualism or extreme contextualism | Time and Contract Interpretation | 19-20 | machine-drafted-source-checked |
| ssrn-4809006-p69 | bias and variance do not exhaust the values relevant to interpretation | Time and Contract Interpretation | 19-20 | machine-drafted-source-checked |
| ssrn-4809006-p70 | meaning-focused textualism and contextualism share an interpretive paradigm even though they use different amounts of evidence | Time and Contract Interpretation | 20 | machine-drafted-source-checked |
| ssrn-4809006-p71 | Krell v. Henry asks whether a room-hire agreement was implicitly conditional on a coronation procession | Time and Contract Interpretation | 20 | machine-drafted-source-checked |
| ssrn-4809006-p72 | the implied-condition reading of Krell is not compelled because the parties might have chosen a nonrefundable allocation | Time and Contract Interpretation | 20-21 | machine-drafted-source-checked |
| ssrn-4809006-p73 | the coronation court's cab-fare distinction illustrates the instability of implied-purpose analysis | Time and Contract Interpretation | 21 | machine-drafted-source-checked |
| ssrn-4809006-p74 | the embedded-option view treats termination rules as negotiated allocations of loss rather than all-or-nothing meaning | Time and Contract Interpretation | 21 | machine-drafted-source-checked |
| ssrn-4809006-p75 | Krell may have covertly allocated the cancellation loss rather than simply declaring one side right | Time and Contract Interpretation | 21 | machine-drafted-source-checked |
| ssrn-4809006-p76 | what parties meant to say can differ from what they meant to do | Time and Contract Interpretation | 21-22 | machine-drafted-source-checked |
| ssrn-4809006-p77 | meaning interpretation and purpose interpretation are critically distinct even though commentators often blend them | Time and Contract Interpretation | 22 | machine-drafted-source-checked |
| ssrn-4809006-p78 | Bagchi's airport-ride hypothetical shows that relational context can change the authority to depart from literal promises | Time and Contract Interpretation | 22-23 | machine-drafted-source-checked |
| ssrn-4809006-p79 | intimates can act on evolving purposes because superior knowledge improves predictive accuracy | Time and Contract Interpretation | 23 | machine-drafted-source-checked |
| ssrn-4809006-p80 | purpose interpretation works by simulating how a party would respond to a counterfactual scenario | Time and Contract Interpretation | 23 | machine-drafted-source-checked |
| ssrn-4809006-p81 | the reliability of simulation can generate different normative duties | Time and Contract Interpretation | 23-24 | machine-drafted-source-checked |
| ssrn-4809006-p82 | simulation is a humanistic exercise continuous with empathy and ordinary social understanding | Time and Contract Interpretation | 24 | machine-drafted-source-checked |
| ssrn-4809006-p83 | theory of mind supplies an innate but unevenly distributed capacity for purpose simulation | Time and Contract Interpretation | 24 | machine-drafted-source-checked |
| ssrn-4809006-p84 | meaning search and purpose simulation are different models with different objective functions and datasets | Time and Contract Interpretation | 24-25 | machine-drafted-source-checked |
| ssrn-4809006-p85 | purpose should generally receive priority over meaning when the two conflict in ordinary contract law | Time and Contract Interpretation | 25 | machine-drafted-source-checked |
| ssrn-4809006-p86 | purpose simulation offers a more coherent way to identify and fill contractual gaps | Time and Contract Interpretation | 25 | machine-drafted-source-checked |
| ssrn-4809006-p87 | purpose simulation faces serious objections concerning data, adjudicator burden, third-party reliance, precision, and accuracy | Time and Contract Interpretation | 25-26 | machine-drafted-source-checked |
| ssrn-4809006-p88 | successful cases show that simulation can sometimes be predictable, information-efficient, sensible, and accurate | Time and Contract Interpretation | 26 | machine-drafted-source-checked |
| ssrn-4809006-p89 | commercial expertise should affect how heavily adjudicators rely on inferred purpose | Time and Contract Interpretation | 26 | machine-drafted-source-checked |
| ssrn-4809006-p90 | purpose simulation requires a broader evidentiary dataset than language interpretation | Time and Contract Interpretation | 26 | machine-drafted-source-checked |
| ssrn-4809006-p91 | human data-processing limits place an upper bound on purpose-based adjudication | Time and Contract Interpretation | 26-27 | machine-drafted-source-checked |
| ssrn-4809006-p92 | language models may weaken the data-processing objection to purposive interpretation | Time and Contract Interpretation | 27 | machine-drafted-source-checked |
| ssrn-4809006-p93 | advances in AI modeling may move future contract law from linguistic meaning toward party purposes | Time and Contract Interpretation | 27 | machine-drafted-source-checked |
| ssrn-4809006-p94 | contract specificity is a function of interpretive technology and interpretive technology responds to drafting | Time and Contract Interpretation | 27 | machine-drafted-source-checked |
| ssrn-4809006-p95 | better purposive interpretation could lower barriers to complex transactions and scale relational contracting | Time and Contract Interpretation | 27 | machine-drafted-source-checked |
| ssrn-4809006-p96 | contract interpretation is prediction across time and should be evaluated like other predictive enterprises | Time and Contract Interpretation | 28 | machine-drafted-source-checked |
| ssrn-4809006-p97 | legal interpretation has been strikingly unempirical about the performance of its techniques | Time and Contract Interpretation | 28 | machine-drafted-source-checked |
| ssrn-4809006-p98 | precision, accuracy, bias, and variance give legal scholars a vocabulary for asking answerable questions about interpretation | Time and Contract Interpretation | 28 | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p01 | a Fairhope trampoline installation dispute raised the ordinary-language question whether that work counted as landscaping under an insurance policy | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p02 | the insurer's denial of coverage transformed a commonplace word into a consequential legal-interpretation problem | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p03 | the Snell dispute illustrates how artificial intelligence may assist courts in pursuing justice through better language interpretation | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p04 | a factually modest case can become a catalyst for a broad change in how law understands and applies words | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p05 | courts traditionally interpret legal language with dictionaries, precedent, Latin canons, and judges' linguistic intuition | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p06 | dictionaries can be outdated and insensitive to the context that gives words their practical meaning | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p07 | precedent promotes consistency but can lag behind changes in contemporary language usage | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p08 | judicial expertise does not guarantee familiarity with modern or vernacular speech | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p09 | mistaken interpretation can produce unjust results, prolonged litigation, and inconsistent law | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p10 | legal practice has long needed a more robust and context-aware source of evidence about meaning | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p11 | the trampoline case marked the first judicial use of generative interpretation as an interpretive approach | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p12 | large language models can offer evidence about how language is used and understood in real-world contexts | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p13 | training on text at a scale beyond any individual reader gives LLMs unusually broad statistical language knowledge | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p14 | LLMs can generate context-aware accounts of ordinary meaning across different domains and communities | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p15 | the method aims to draw on an LLM's language knowledge rather than treat its output as unexplained authority | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p16 | generative interpretation builds on Arbel's joint scholarship with Professor David Hoffman | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p17 | Judge Kevin Newsom openly described the use of AI language models in interpretation as a possible heresy | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p18 | Newsom's concurrence relied extensively on Arbel and Hoffman's work when assessing LLMs as evidence of ordinary meaning | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p19 | Newsom asked multiple models whether installing an in-ground trampoline is landscaping | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p20 | the models agreed that an in-ground trampoline installation would ordinarily count as part of a landscaping job in the supplied context | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p21 | the models' affirmative answers were informative but not determinative because other legal factors governed the dispute | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p22 | the concurrence made it plausible within mainstream judging that ChatGPT might say something useful about everyday legal language | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p23 | judicial engagement with LLMs marks a milestone without yet amounting to wholesale acceptance of AI-assisted interpretation | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p24 | generative interpretation requires practical safeguards against prompt bias, hallucination, and uncritical reliance | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p25 | Hurricane Katrina insurance cases illustrate how LLMs might clarify the ordinary relation between flood and storm surge | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p26 | prenuptial-agreement disputes illustrate how LLMs might illuminate context-dependent ambiguous terms | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p27 | commercial-contract disputes illustrate how domain-sensitive LLM evidence might help generalist judges understand industry jargon | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p28 | generative interpretation is meant to complement dictionaries, precedent, and human judgment rather than replace them | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p29 | LLMs may offer more current and domain-specific usage evidence than static general-purpose dictionaries | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p30 | users should query multiple LLMs so that one model's biases or errors do not control the inquiry | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p31 | prompts and responses should be documented so an interpretive inquiry can be scrutinized and replicated | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p32 | LLM outputs should remain advisory rather than determinative in legal decision-making | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p33 | human oversight is necessary to identify bias, fabrication, and other errors in AI-generated interpretive evidence | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p34 | case studies can test where LLM language evidence aids courts and where the method encounters limits | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p35 | lawyers may need new competence in prompt design and AI-assisted interpretation to prepare and argue cases effectively | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p36 | judges may gain access to broader language data that could support more informed and consistent decisions | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p37 | clients could benefit if greater interpretive consistency reduces uncertainty and litigation costs | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p38 | adoption of generative interpretation risks overreliance on tools whose outputs remain imperfect | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p39 | legal systems must balance AI assistance against the continuing need for human discretion and empathy | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p40 | LLM-assisted interpretation must be designed so that it does not reproduce or amplify existing legal-system biases | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p41 | generative interpretation forms part of a broader University of Alabama initiative on AI, law, and legal education | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p42 | an AI for Lawyers course can teach students by having them build practical tools for legal tasks | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p43 | Arbel's AI-and-law agenda joins systemic-risk governance with constructive integration of AI into courts | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p44 | consumer-facing AI tools may help people understand and manage complex legal documents | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p45 | AI tools can be developed to simulate how juries and ordinary people understand the reasonable person | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p46 | generative interpretation could improve accuracy, consistency, and accessibility while reducing litigation | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p47 | the promise of AI-assisted interpretation must be evaluated alongside ethical questions about machine influence on legal judgment | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p48 | the Snell trampoline dispute helped move generative interpretation from academic proposal toward mainstream legal thought | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p49 | integrating AI into legal interpretation may make doctrine more responsive to real-world language usage | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p50 | AI-assisted interpretation challenges lawyers and judges to reconsider foundational assumptions about legal reasoning | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p51 | courts should monitor impacts and refine methodology as generative interpretation gains traction | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p52 | scholarly design and judicial experimentation can develop symbiotically rather than along separate tracks | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p53 | future adoption may involve courts, law-school curricula, and specialized legal-technology products | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p54 | technological potential must remain balanced with the human elements central to legal practice | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| thinking-unthinkable-ai-justice-p55 | the ultimate measure of generative interpretation is whether it makes the legal system more accurate, efficient, fair, and just | Thinking the Unthinkable: AI in the Service of Justice | unpaginated | machine-drafted-source-checked |
| ssrn-4962098-p001 | the plain-language movement produced nearly 800 laws while resting on an asserted scientific readability crisis | The Readability of Contracts: Big Data Analysis | 1 | machine-drafted-source-checked |
| ssrn-4962098-p002 | the article supplies the largest empirical test of plain-language claims by analyzing roughly two million contracts across industries and decades | The Readability of Contracts: Big Data Analysis | 1 | machine-drafted-source-checked |
| ssrn-4962098-p003 | consumer agreements have median readability scores close to those of daily news articles | The Readability of Contracts: Big Data Analysis | 1 | machine-drafted-source-checked |
| ssrn-4962098-p004 | standard readability tools are unreliable, manipulable, and can differ by up to 4.6 grade levels on identical text | The Readability of Contracts: Big Data Analysis | 1 | machine-drafted-source-checked |
| ssrn-4962098-p005 | the belief that most American adults cannot read beyond eighth grade is an unsupported myth | The Readability of Contracts: Big Data Analysis | 1 | machine-drafted-source-checked |
| ssrn-4962098-p006 | consumer protection should shift from superficial readability scores toward market structure, substantive terms, and targeted assistance | The Readability of Contracts: Big Data Analysis | 1 | machine-drafted-source-checked |
| ssrn-4962098-p007 | the no-reading problem cuts against contract law's organizing ideal of assent | The Readability of Contracts: Big Data Analysis | 2 | machine-drafted-source-checked |
| ssrn-4962098-p008 | consumers decline to read for many reasons unrelated to linguistic difficulty | The Readability of Contracts: Big Data Analysis | 2 | machine-drafted-source-checked |
| ssrn-4962098-p009 | legal scholarship often treats arcane language as the leading cause of nonreading | The Readability of Contracts: Big Data Analysis | 2 | machine-drafted-source-checked |
| ssrn-4962098-p010 | the claimed readability gap is used to justify protection, competition, and informed-rights rationales | The Readability of Contracts: Big Data Analysis | 2 | machine-drafted-source-checked |
| ssrn-4962098-p011 | the plain-language movement is politically quiet but legally powerful | The Readability of Contracts: Big Data Analysis | 3 | machine-drafted-source-checked |
| ssrn-4962098-p012 | nearly 800 federal and state plain-language laws amount to a major consumer-protection revolution | The Readability of Contracts: Big Data Analysis | 3 | machine-drafted-source-checked |
| ssrn-4962098-p013 | the article tests four propositions: comparative readability, change over time, metric reliability, and adult literacy | The Readability of Contracts: Big Data Analysis | 3 | machine-drafted-source-checked |
| ssrn-4962098-p014 | benchmarking contracts against texts adults voluntarily read is more informative than interpreting grade levels in isolation | The Readability of Contracts: Big Data Analysis | 3 | machine-drafted-source-checked |
| ssrn-4962098-p015 | the article contributes both a two-million-document corpus and machine-learning methods for contract research | The Readability of Contracts: Big Data Analysis | 3 | machine-drafted-source-checked |
| ssrn-4962098-p016 | a universal and mathematically provable ideal of plain language should be rejected | The Readability of Contracts: Big Data Analysis | 4 | machine-drafted-source-checked |
| ssrn-4962098-p017 | plain-language regulation can divert attention from substantive terms and market conditions to drafting compliance | The Readability of Contracts: Big Data Analysis | 4 | machine-drafted-source-checked |
| ssrn-4962098-p018 | plain-language policy can entrench a moralized duty to read and strict textualism | The Readability of Contracts: Big Data Analysis | 4 | machine-drafted-source-checked |
| ssrn-4962098-p019 | personalized smart readers offer a better direction than drafting for an imagined average consumer | The Readability of Contracts: Big Data Analysis | 4 | machine-drafted-source-checked |
| ssrn-4962098-p020 | the plain-language story illustrates how folk empiricism can drive well-intentioned legal reform | The Readability of Contracts: Big Data Analysis | 4 | machine-drafted-source-checked |
| ssrn-4962098-p021 | the plain-language movement combines political invisibility, elite endorsement, populist rhetoric, and global reach | The Readability of Contracts: Big Data Analysis | 5 | machine-drafted-source-checked |
| ssrn-4962098-p022 | the movement emerged when substantive consumer regulation weakened and process-based reform looked more attainable | The Readability of Contracts: Big Data Analysis | 5 | machine-drafted-source-checked |
| ssrn-4962098-p023 | literacy anxiety and the Nation at Risk narrative helped shape the movement's view of Americans as deeply undereducated | The Readability of Contracts: Big Data Analysis | 5 | machine-drafted-source-checked |
| ssrn-4962098-p024 | the movement's manuals and style guides conceal jurisprudential and political commitments beneath craft advice | The Readability of Contracts: Big Data Analysis | 5 | machine-drafted-source-checked |
| ssrn-4962098-p025 | plain-language reform has attracted bipartisan political support and civil-rights rhetoric | The Readability of Contracts: Big Data Analysis | 6 | machine-drafted-source-checked |
| ssrn-4962098-p026 | the claim that people do not read contracts at all is exaggerated | The Readability of Contracts: Big Data Analysis | 6 | machine-drafted-source-checked |
| ssrn-4962098-p027 | even demonstrated nonreading of online terms does not establish that reading consistently improves consumer outcomes | The Readability of Contracts: Big Data Analysis | 6 | machine-drafted-source-checked |
| ssrn-4962098-p028 | legalese is only one of several plausible obstacles to reading | The Readability of Contracts: Big Data Analysis | 6 | machine-drafted-source-checked |
| ssrn-4962098-p029 | concerns about unreadable boilerplate have supported nonenforcement, enhanced disclosure, and substantive policing | The Readability of Contracts: Big Data Analysis | 7 | machine-drafted-source-checked |
| ssrn-4962098-p030 | plain-language advocates generally characterize legalese as poor craft rather than strategic obfuscation | The Readability of Contracts: Big Data Analysis | 7 | machine-drafted-source-checked |
| ssrn-4962098-p031 | translation from technical legal language to plain language can be lossy | The Readability of Contracts: Big Data Analysis | 7 | machine-drafted-source-checked |
| ssrn-4962098-p032 | the case for plain language cannot assume that simplicity and precision are costless complements | The Readability of Contracts: Big Data Analysis | 7 | machine-drafted-source-checked |
| ssrn-4962098-p033 | explaining technical terms in simpler words often lengthens the document | The Readability of Contracts: Big Data Analysis | 8 | machine-drafted-source-checked |
| ssrn-4962098-p034 | Dutch insurance simplification produced documents that were easier by one metric but substantially longer | The Readability of Contracts: Big Data Analysis | 8 | machine-drafted-source-checked |
| ssrn-4962098-p035 | the relationship between linguistic simplification and comprehension is not linear | The Readability of Contracts: Big Data Analysis | 8 | machine-drafted-source-checked |
| ssrn-4962098-p036 | readability formulas operationalize a rich construct through a few formal textual counts | The Readability of Contracts: Big Data Analysis | 8 | machine-drafted-source-checked |
| ssrn-4962098-p037 | widely used readability tests rely on different combinations of surface features | The Readability of Contracts: Big Data Analysis | 9 | machine-drafted-source-checked |
| ssrn-4962098-p038 | policymakers and commercial actors use readability scores despite advocates' own warnings that the measures are reductive | The Readability of Contracts: Big Data Analysis | 9 | machine-drafted-source-checked |
| ssrn-4962098-p039 | readability measures require separate evaluation of internal and external validity | The Readability of Contracts: Big Data Analysis | 9 | machine-drafted-source-checked |
| ssrn-4962098-p040 | readability formulas that purport to measure one construct should correlate on a common text corpus | The Readability of Contracts: Big Data Analysis | 10 | machine-drafted-source-checked |
| ssrn-4962098-p041 | several leading readability tests correlate weakly or negatively with one another | The Readability of Contracts: Big Data Analysis | 10 | machine-drafted-source-checked |
| ssrn-4962098-p042 | near-perfect correlations among some tests suggest redundancy rather than independent confirmation | The Readability of Contracts: Big Data Analysis | 10 | machine-drafted-source-checked |
| ssrn-4962098-p043 | different software libraries implementing Flesch-Kincaid differed by an average of 4.6 grade levels on the same contract paragraphs | The Readability of Contracts: Big Data Analysis | 10 | machine-drafted-source-checked |
| ssrn-4962098-p044 | sentence tokenization is ambiguous in contracts with headings, bullets, definitions, and conversion artifacts | The Readability of Contracts: Big Data Analysis | 11 | machine-drafted-source-checked |
| ssrn-4962098-p045 | word and syllable counts depend on contested linguistic and computational choices | The Readability of Contracts: Big Data Analysis | 11 | machine-drafted-source-checked |
| ssrn-4962098-p046 | earlier readability research often overlooks implementation sensitivity | The Readability of Contracts: Big Data Analysis | 11 | machine-drafted-source-checked |
| ssrn-4962098-p047 | readability formulas show mixed and sometimes inverse relationships with actual comprehension | The Readability of Contracts: Big Data Analysis | 11 | machine-drafted-source-checked |
| ssrn-4962098-p048 | classic formulas explain only a small share of measured comprehension and reading-speed variance in recent studies | The Readability of Contracts: Big Data Analysis | 12 | machine-drafted-source-checked |
| ssrn-4962098-p049 | contract-simplification experiments produce mixed or null effects on understanding, trust, and behavior | The Readability of Contracts: Big Data Analysis | 12 | machine-drafted-source-checked |
| ssrn-4962098-p050 | some experiments found the nominally least readable forms produced the most correct answers | The Readability of Contracts: Big Data Analysis | 12 | machine-drafted-source-checked |
| ssrn-4962098-p051 | making contracts shorter may improve comprehension more reliably than changing formula scores | The Readability of Contracts: Big Data Analysis | 12 | machine-drafted-source-checked |
| ssrn-4962098-p052 | a large experiment found easier contracts felt more understandable but did not change advice-seeking, complaints, or legal action | The Readability of Contracts: Big Data Analysis | 12 | machine-drafted-source-checked |
| ssrn-4962098-p053 | claims that half of American adults cannot read past eighth grade are pervasive across scholarship and government materials | The Readability of Contracts: Big Data Analysis | 13 | machine-drafted-source-checked |
| ssrn-4962098-p054 | if most adults truly read like young teenagers, the implication would reach democracy and innovation far beyond contracts | The Readability of Contracts: Big Data Analysis | 13 | machine-drafted-source-checked |
| ssrn-4962098-p055 | Census educational-attainment data contradicts the premise of population-wide arrest at middle-school reading levels | The Readability of Contracts: Big Data Analysis | 13 | machine-drafted-source-checked |
| ssrn-4962098-p056 | adult literacy should not be inferred by mechanically equating formula grade levels with completed schooling | The Readability of Contracts: Big Data Analysis | 13 | machine-drafted-source-checked |
| ssrn-4962098-p057 | PIAAC finds most American adults have mid or high English proficiency | The Readability of Contracts: Big Data Analysis | 14 | machine-drafted-source-checked |
| ssrn-4962098-p058 | NAAL expressly warns that grade-level translations of literacy are arbitrary | The Readability of Contracts: Big Data Analysis | 14 | machine-drafted-source-checked |
| ssrn-4962098-p059 | people classified below a demanding literacy threshold can still perform complex document tasks | The Readability of Contracts: Big Data Analysis | 14 | machine-drafted-source-checked |
| ssrn-4962098-p060 | a Gallup report created an alarming partial-illiteracy figure by defining everyone below Level 3 as partially illiterate | The Readability of Contracts: Big Data Analysis | 14 | machine-drafted-source-checked |
| ssrn-4962098-p061 | self-reported and educational evidence should be read alongside direct assessments rather than collapsed into a single grade number | The Readability of Contracts: Big Data Analysis | 14 | machine-drafted-source-checked |
| ssrn-4962098-p062 | health-literacy studies arise in contexts of stress, disability, and specialized medical material | The Readability of Contracts: Big Data Analysis | 15 | machine-drafted-source-checked |
| ssrn-4962098-p063 | a central grade-equivalence assertion traces to an unsourced rough approximation in an old textbook | The Readability of Contracts: Big Data Analysis | 15 | machine-drafted-source-checked |
| ssrn-4962098-p064 | book, news, and social-media consumption provide a sanity check against majority illiteracy | The Readability of Contracts: Big Data Analysis | 15 | machine-drafted-source-checked |
| ssrn-4962098-p065 | most eighth and twelfth graders read at or above their own basic grade level | The Readability of Contracts: Big Data Analysis | 15 | machine-drafted-source-checked |
| ssrn-4962098-p066 | policy should focus on people with real literacy and accessibility vulnerabilities rather than an invented average deficit | The Readability of Contracts: Big Data Analysis | 16 | machine-drafted-source-checked |
| ssrn-4962098-p067 | readers who struggle with contracts are heterogeneous in language, cognition, vision, education, age, and context | The Readability of Contracts: Big Data Analysis | 16 | machine-drafted-source-checked |
| ssrn-4962098-p068 | false assumptions about the average reader produce false expectations and misdirected policy | The Readability of Contracts: Big Data Analysis | 16 | machine-drafted-source-checked |
| ssrn-4962098-p069 | the study tests the movement's central readability claim despite serious doubts about traditional metrics | The Readability of Contracts: Big Data Analysis | 17 | machine-drafted-source-checked |
| ssrn-4962098-p070 | SEC exhibit-10 filings provide a corpus of roughly 1.2 million material commercial contracts | The Readability of Contracts: Big Data Analysis | 17 | machine-drafted-source-checked |
| ssrn-4962098-p071 | format normalization is essential because parsing artifacts can distort readability scores | The Readability of Contracts: Big Data Analysis | 17 | machine-drafted-source-checked |
| ssrn-4962098-p072 | manual classification is infeasible for a million-contract corpus | The Readability of Contracts: Big Data Analysis | 17 | machine-drafted-source-checked |
| ssrn-4962098-p073 | hundreds of hand-coded title rules classified only about one quarter of the contracts | The Readability of Contracts: Big Data Analysis | 18 | machine-drafted-source-checked |
| ssrn-4962098-p074 | contract titles can supply weak labels created by the drafting lawyers themselves | The Readability of Contracts: Big Data Analysis | 18 | machine-drafted-source-checked |
| ssrn-4962098-p075 | titles were grouped into ten categories and removed before model training | The Readability of Contracts: Big Data Analysis | 18 | machine-drafted-source-checked |
| ssrn-4962098-p076 | the weak-label process produced 275,480 training examples across leading contract categories | The Readability of Contracts: Big Data Analysis | 18 | machine-drafted-source-checked |
| ssrn-4962098-p077 | traditional TF-IDF vectors outperformed transformer embeddings for contract-type classification | The Readability of Contracts: Big Data Analysis | 19 | machine-drafted-source-checked |
| ssrn-4962098-p078 | TF-IDF works well because rare specialized words distinguish contract categories | The Readability of Contracts: Big Data Analysis | 19 | machine-drafted-source-checked |
| ssrn-4962098-p079 | LightGBM supplied the best combination of accuracy and inference speed among tested classifiers | The Readability of Contracts: Big Data Analysis | 19 | machine-drafted-source-checked |
| ssrn-4962098-p080 | complex models and embeddings imposed substantial computing costs without winning the task | The Readability of Contracts: Big Data Analysis | 19 | machine-drafted-source-checked |
| ssrn-4962098-p081 | the classifier reached 96.67 percent balanced accuracy within the defined training categories | The Readability of Contracts: Big Data Analysis | 20 | machine-drafted-source-checked |
| ssrn-4962098-p082 | category-level F1 scores ranged from roughly 93 to 100 percent for some agreement types | The Readability of Contracts: Big Data Analysis | 20 | machine-drafted-source-checked |
| ssrn-4962098-p083 | misclassification between credit and purchase agreements is substantively intelligible | The Readability of Contracts: Big Data Analysis | 20 | machine-drafted-source-checked |
| ssrn-4962098-p084 | a blind audit outside the structured test set produced a lower 78 percent balanced accuracy | The Readability of Contracts: Big Data Analysis | 20 | machine-drafted-source-checked |
| ssrn-4962098-p085 | the CARD Act created a near-marketwide database of consumer credit-card agreements | The Readability of Contracts: Big Data Analysis | 21 | machine-drafted-source-checked |
| ssrn-4962098-p086 | credit-card contracts matter at population scale because most Americans use multiple cards | The Readability of Contracts: Big Data Analysis | 21 | machine-drafted-source-checked |
| ssrn-4962098-p087 | the CFPB files required extensive repair because of missing mappings, duplicates, scans, and corrupt documents | The Readability of Contracts: Big Data Analysis | 21 | machine-drafted-source-checked |
| ssrn-4962098-p088 | quality control yielded 93,078 readable credit agreements from 95,071 deduplicated files | The Readability of Contracts: Big Data Analysis | 21 | machine-drafted-source-checked |
| ssrn-4962098-p089 | the privacy-policy corpus uses historical web snapshots for more than half a million sites | The Readability of Contracts: Big Data Analysis | 22 | machine-drafted-source-checked |
| ssrn-4962098-p090 | missing-year privacy policies were filled forward under an assumption of no interim change | The Readability of Contracts: Big Data Analysis | 22 | machine-drafted-source-checked |
| ssrn-4962098-p091 | franchise-disclosure registries supplied 12,602 documents across multiple states | The Readability of Contracts: Big Data Analysis | 22 | machine-drafted-source-checked |
| ssrn-4962098-p092 | franchise disclosures are legally mandated because prospective franchisees face information and power concerns | The Readability of Contracts: Big Data Analysis | 22 | machine-drafted-source-checked |
| ssrn-4962098-p093 | the final corpus contains 1,935,680 contracts, including 1.2 million commercial and 735,680 consumer or hybrid agreements | The Readability of Contracts: Big Data Analysis | 23 | machine-drafted-source-checked |
| ssrn-4962098-p094 | counts of standardized forms understate the number of transactions and people governed | The Readability of Contracts: Big Data Analysis | 23 | machine-drafted-source-checked |
| ssrn-4962098-p095 | the consumer sample overrepresents contracts already subject to disclosure and clarity regulation | The Readability of Contracts: Big Data Analysis | 23 | machine-drafted-source-checked |
| ssrn-4962098-p096 | social-media terms, retail purchases, and consumer-to-consumer agreements are not adequately represented | The Readability of Contracts: Big Data Analysis | 23 | machine-drafted-source-checked |
| ssrn-4962098-p097 | the study's limitations remain modest relative to the tiny selected samples used in prior plain-language research | The Readability of Contracts: Big Data Analysis | 23 | machine-drafted-source-checked |
| ssrn-4962098-p098 | rigorous preprocessing removes nontextual artifacts and uses two sentence tokenizers | The Readability of Contracts: Big Data Analysis | 24 | machine-drafted-source-checked |
| ssrn-4962098-p099 | averaging multiple implementations of each formula constrains selective software choice | The Readability of Contracts: Big Data Analysis | 24 | machine-drafted-source-checked |
| ssrn-4962098-p100 | the Composite Readability Measure averages across tests as well as across implementations | The Readability of Contracts: Big Data Analysis | 24 | machine-drafted-source-checked |
| ssrn-4962098-p101 | extreme and negative grade estimates were bounded to reduce the effect of pathological outputs | The Readability of Contracts: Big Data Analysis | 24 | machine-drafted-source-checked |
| ssrn-4962098-p102 | the benchmark corpus contains roughly 1.8 million news articles, reviews, debates, books, and reference texts | The Readability of Contracts: Big Data Analysis | 25 | machine-drafted-source-checked |
| ssrn-4962098-p103 | benchmark texts are consumed voluntarily by large and diverse audiences | The Readability of Contracts: Big Data Analysis | 25 | machine-drafted-source-checked |
| ssrn-4962098-p104 | different benchmark genres attract different audiences and therefore provide a range rather than one universal standard | The Readability of Contracts: Big Data Analysis | 25 | machine-drafted-source-checked |
| ssrn-4962098-p105 | benchmarking does not erase the needs of readers with atypical linguistic or cognitive requirements | The Readability of Contracts: Big Data Analysis | 25 | machine-drafted-source-checked |
| ssrn-4962098-p106 | the empirical analysis separates cross-sectional comparisons from change over time | The Readability of Contracts: Big Data Analysis | 26 | machine-drafted-source-checked |
| ssrn-4962098-p107 | the Composite Readability Measure is used as the principal cross-test summary rather than a literal schooling diagnosis | The Readability of Contracts: Big Data Analysis | 26 | machine-drafted-source-checked |
| ssrn-4962098-p108 | Amazon reviews and presidential debates are among the easiest benchmark texts while commercial contracts and franchise disclosures are the hardest | The Readability of Contracts: Big Data Analysis | 27 | machine-drafted-source-checked |
| ssrn-4962098-p109 | credit-card agreements sit near CNN and Fox News in median composite readability | The Readability of Contracts: Big Data Analysis | 27 | machine-drafted-source-checked |
| ssrn-4962098-p110 | privacy policies are somewhat harder than credit agreements but close to financial news and The New Republic | The Readability of Contracts: Big Data Analysis | 27 | machine-drafted-source-checked |
| ssrn-4962098-p111 | commercial contracts have a median composite grade estimate near 16.9 while franchise disclosures are near 15.74 | The Readability of Contracts: Big Data Analysis | 27 | machine-drafted-source-checked |
| ssrn-4962098-p112 | consumer-contract distributions substantially overlap texts adults habitually and voluntarily read | The Readability of Contracts: Big Data Analysis | 28 | machine-drafted-source-checked |
| ssrn-4962098-p113 | transactional complexity does not determine linguistic simplicity | The Readability of Contracts: Big Data Analysis | 28 | machine-drafted-source-checked |
| ssrn-4962098-p114 | low market attention may help explain why privacy policies are harder than credit-card agreements | The Readability of Contracts: Big Data Analysis | 28 | machine-drafted-source-checked |
| ssrn-4962098-p115 | franchise disclosures raise special concern because formally commercial readers may resemble consumers in power and sophistication | The Readability of Contracts: Big Data Analysis | 28 | machine-drafted-source-checked |
| ssrn-4962098-p116 | a robust Flesch-Kincaid analysis reproduces the broad ordering found in the composite measure | The Readability of Contracts: Big Data Analysis | 29 | machine-drafted-source-checked |
| ssrn-4962098-p117 | document length must be analyzed separately from sentence-level readability | The Readability of Contracts: Big Data Analysis | 29 | machine-drafted-source-checked |
| ssrn-4962098-p118 | commercial contracts and franchise disclosures impose exceptionally large reading-time investments | The Readability of Contracts: Big Data Analysis | 30 | machine-drafted-source-checked |
| ssrn-4962098-p119 | consumer contracts are much longer than the news and review texts with similar grade scores | The Readability of Contracts: Big Data Analysis | 30 | machine-drafted-source-checked |
| ssrn-4962098-p120 | contracts that score as readable remain long, contradicting the idea that plain language necessarily produces concision | The Readability of Contracts: Big Data Analysis | 31 | machine-drafted-source-checked |
| ssrn-4962098-p121 | standard readability formulas ignore formatting even though formatting affects access | The Readability of Contracts: Big Data Analysis | 31 | machine-drafted-source-checked |
| ssrn-4962098-p122 | ALL-CAPS is common in commercial and franchise documents and unusually prevalent in consumer credit agreements | The Readability of Contracts: Big Data Analysis | 31 | machine-drafted-source-checked |
| ssrn-4962098-p123 | ALL-CAPS mandates may reflect a mistaken regulatory belief that capitalization helps consumers | The Readability of Contracts: Big Data Analysis | 31 | machine-drafted-source-checked |
| ssrn-4962098-p124 | credit contracts remain easier than privacy policies and commercial agreements across time | The Readability of Contracts: Big Data Analysis | 32 | machine-drafted-source-checked |
| ssrn-4962098-p125 | commercial contracts became materially more complex from 2001 to 2022 | The Readability of Contracts: Big Data Analysis | 32 | machine-drafted-source-checked |
| ssrn-4962098-p126 | commercial-contract change provides evidence that the measurement system can detect real temporal movement | The Readability of Contracts: Big Data Analysis | 32 | machine-drafted-source-checked |
| ssrn-4962098-p127 | privacy policies became modestly easier after an initially difficult period | The Readability of Contracts: Big Data Analysis | 33 | machine-drafted-source-checked |
| ssrn-4962098-p128 | consumer credit readability is comparatively easy but volatile around the 2015 data interruption | The Readability of Contracts: Big Data Analysis | 33 | machine-drafted-source-checked |
| ssrn-4962098-p129 | consumer credit agreements show renewed complexity after 2020 | The Readability of Contracts: Big Data Analysis | 33 | machine-drafted-source-checked |
| ssrn-4962098-p130 | noncompete and post-employment agreements grew roughly fourteen percent more difficult on the composite measure | The Readability of Contracts: Big Data Analysis | 35 | machine-drafted-source-checked |
| ssrn-4962098-p131 | almost every commercial-contract category became more difficult over the study period | The Readability of Contracts: Big Data Analysis | 35 | machine-drafted-source-checked |
| ssrn-4962098-p132 | services and supply agreements are the principal category without a substantial readability increase | The Readability of Contracts: Big Data Analysis | 35 | machine-drafted-source-checked |
| ssrn-4962098-p133 | consumer contracts did not become materially longer over the observed period | The Readability of Contracts: Big Data Analysis | 36 | machine-drafted-source-checked |
| ssrn-4962098-p134 | most commercial-contract categories also remained relatively stable in length | The Readability of Contracts: Big Data Analysis | 36 | machine-drafted-source-checked |
| ssrn-4962098-p135 | year-to-year variation shows that contracts change despite extensive copying and reuse | The Readability of Contracts: Big Data Analysis | 36 | machine-drafted-source-checked |
| ssrn-4962098-p136 | consumer contracts are no harder by these metrics than daily news, undermining decades of generalized complexity claims | The Readability of Contracts: Big Data Analysis | 37 | machine-drafted-source-checked |
| ssrn-4962098-p137 | the absence of a broad linguistic crisis is not a rosy finding about consumer markets | The Readability of Contracts: Big Data Analysis | 37 | machine-drafted-source-checked |
| ssrn-4962098-p138 | relatively readable consumer contracts are surprising under theories that firms benefit from obfuscation | The Readability of Contracts: Big Data Analysis | 37 | machine-drafted-source-checked |
| ssrn-4962098-p139 | post-sale rights vindication may be obstructed by structural or substantive causes other than readability | The Readability of Contracts: Big Data Analysis | 37 | machine-drafted-source-checked |
| ssrn-4962098-p140 | Wittgenstein's ruler principle requires treating every measurement as evidence about the metric itself | The Readability of Contracts: Big Data Analysis | 38 | machine-drafted-source-checked |
| ssrn-4962098-p141 | readability tests fail on reliability, inter-test coherence, and connection to consumer outcomes | The Readability of Contracts: Big Data Analysis | 38 | machine-drafted-source-checked |
| ssrn-4962098-p142 | averaging across tests mitigates but cannot cure weak construct validity | The Readability of Contracts: Big Data Analysis | 38 | machine-drafted-source-checked |
| ssrn-4962098-p143 | plain-language advocates face a dilemma if they reject unfavorable results because the underlying tests are unreliable | The Readability of Contracts: Big Data Analysis | 38 | machine-drafted-source-checked |
| ssrn-4962098-p144 | a more sophisticated universal readability test would remain vulnerable to laboratory-field gaps and gaming | The Readability of Contracts: Big Data Analysis | 39 | machine-drafted-source-checked |
| ssrn-4962098-p145 | universal readability measurement is conceptually flawed because readers differ across culture, cognition, education, and context | The Readability of Contracts: Big Data Analysis | 39 | machine-drafted-source-checked |
| ssrn-4962098-p146 | the adult illiteracy myth illustrates deeply nested citation chains that end without evidentiary support | The Readability of Contracts: Big Data Analysis | 39 | machine-drafted-source-checked |
| ssrn-4962098-p147 | laws calibrated five to seven grades below actual target readers may undermine consumer protection | The Readability of Contracts: Big Data Analysis | 39 | machine-drafted-source-checked |
| ssrn-4962098-p148 | people who genuinely struggle with literacy need multimodal and structural support rather than shorter sentences alone | The Readability of Contracts: Big Data Analysis | 39 | machine-drafted-source-checked |
| ssrn-4962098-p149 | laboratory success does not establish that a readability metric will work in real transactions | The Readability of Contracts: Big Data Analysis | 40 | machine-drafted-source-checked |
| ssrn-4962098-p150 | complex metrics create more dimensions that sophisticated drafters can game | The Readability of Contracts: Big Data Analysis | 40 | machine-drafted-source-checked |
| ssrn-4962098-p151 | a single readability number cannot capture diverse texts, transactions, and readers | The Readability of Contracts: Big Data Analysis | 40 | machine-drafted-source-checked |
| ssrn-4962098-p152 | consumer-contract readability remained static while commercial-contract complexity rose | The Readability of Contracts: Big Data Analysis | 41 | machine-drafted-source-checked |
| ssrn-4962098-p153 | consumer stasis is consistent with ineffectiveness, saturation, or irrelevance of plain-language laws | The Readability of Contracts: Big Data Analysis | 41 | machine-drafted-source-checked |
| ssrn-4962098-p154 | each leading interpretation of consumer stasis casts doubt on continued broad plain-language reform | The Readability of Contracts: Big Data Analysis | 41 | machine-drafted-source-checked |
| ssrn-4962098-p155 | commercial complexity may reflect production costs and organizational practices but those accounts do not explain the upward trend | The Readability of Contracts: Big Data Analysis | 41 | machine-drafted-source-checked |
| ssrn-4962098-p156 | greater commercial-contract complexity may increase adoption costs and slow contractual innovation | The Readability of Contracts: Big Data Analysis | 42 | machine-drafted-source-checked |
| ssrn-4962098-p157 | franchise disclosures are especially troubling because franchisees may lack the sophistication and leverage of large firms | The Readability of Contracts: Big Data Analysis | 42 | machine-drafted-source-checked |
| ssrn-4962098-p158 | the costs of nearly 800 plain-language laws include drafting, enforcement, compliance, and foregone reforms | The Readability of Contracts: Big Data Analysis | 42 | machine-drafted-source-checked |
| ssrn-4962098-p159 | the burden of proof should shift to proponents of new plain-language mandates | The Readability of Contracts: Big Data Analysis | 42 | machine-drafted-source-checked |
| ssrn-4962098-p160 | firm-side readability mandates are not incentive compatible and can reward gaming | The Readability of Contracts: Big Data Analysis | 43 | machine-drafted-source-checked |
| ssrn-4962098-p161 | drafting for the average reader redirects attention from diverse readers at the tails | The Readability of Contracts: Big Data Analysis | 43 | machine-drafted-source-checked |
| ssrn-4962098-p162 | the assumption that one document must serve every reader is a fallacy | The Readability of Contracts: Big Data Analysis | 43 | machine-drafted-source-checked |
| ssrn-4962098-p163 | AI-powered smart readers can simplify, personalize, interpret, and benchmark contracts for individual users | The Readability of Contracts: Big Data Analysis | 43 | machine-drafted-source-checked |
| ssrn-4962098-p164 | smart readers can present the same agreement differently to teenagers, visual learners, summary-preferring users, or Spanish speakers | The Readability of Contracts: Big Data Analysis | 43 | machine-drafted-source-checked |
| ssrn-4962098-p165 | smart readers can reduce reliance on professional intermediaries and narrow access-to-justice gaps | The Readability of Contracts: Big Data Analysis | 43 | machine-drafted-source-checked |
| ssrn-4962098-p166 | smart-reader policy must address accuracy, bias, privacy, security, and liability | The Readability of Contracts: Big Data Analysis | 44 | machine-drafted-source-checked |
| ssrn-4962098-p167 | standards and certification can build trust in consumer-facing contract tools | The Readability of Contracts: Big Data Analysis | 44 | machine-drafted-source-checked |
| ssrn-4962098-p168 | challenging plain-language metrics is not a license for firms to obfuscate | The Readability of Contracts: Big Data Analysis | 44 | machine-drafted-source-checked |
| ssrn-4962098-p169 | substantive regulation may be necessary when unfair contract terms cause the underlying harm | The Readability of Contracts: Big Data Analysis | 44 | machine-drafted-source-checked |
| ssrn-4962098-p170 | comparison tools, fairness ratings, and AI shopping assistants can strengthen consumer choice | The Readability of Contracts: Big Data Analysis | 44 | machine-drafted-source-checked |
| ssrn-4962098-p171 | the plain-language movement achieved immense legal success while failing scrutiny on each foundational empirical premise | The Readability of Contracts: Big Data Analysis | 45 | machine-drafted-source-checked |
| ssrn-4962098-p172 | simplification is not a silver bullet and appears to produce at most modest consumer-outcome effects | The Readability of Contracts: Big Data Analysis | 45 | machine-drafted-source-checked |
| ssrn-4962098-p173 | readability is neither necessary nor sufficient to cure market pathology | The Readability of Contracts: Big Data Analysis | 45 | machine-drafted-source-checked |
| ssrn-4962098-p174 | a clearly disclosed payday loan with a 600 percent APR remains a rotten deal | The Readability of Contracts: Big Data Analysis | 45 | machine-drafted-source-checked |
| ssrn-4962098-p175 | consumer law should focus more directly on market structure, choice, and substantive terms | The Readability of Contracts: Big Data Analysis | 45 | machine-drafted-source-checked |
| ssrn-4962098-p176 | consumer-assistive AI and contract APIs can serve people with individualized accessibility needs | The Readability of Contracts: Big Data Analysis | 45 | machine-drafted-source-checked |
| ssrn-4962098-p177 | legal movements can perpetuate myths when noble ends substitute for empirical underwriting | The Readability of Contracts: Big Data Analysis | 45 | machine-drafted-source-checked |
| ssrn-4962098-p178 | the relevant retrospective question is whether half a century of plain-language reform caused consumers to read, understand, and decide better | The Readability of Contracts: Big Data Analysis | 46 | machine-drafted-source-checked |
| false-choice-ai-p01 | The dispute between advocates focused on current AI harms and advocates focused on future catastrophic risks rests on a false choice | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p02 | Serious AI harms across both time horizons require oversight throughout the AI lifecycle | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p03 | Many serious present and near-future harms arise from the basic operation of AI technology rather than only from exotic future systems | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p04 | Models trained on historical data can reproduce past discrimination and carry it into future decisions | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p05 | AI magnifies privacy threats by inferring sensitive traits from large volumes of apparently innocuous data | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p06 | AI-driven workforce displacement could concentrate gains while imposing widespread economic and social costs on workers | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p07 | Historical technological adjustment does not guarantee that AI will create enough new human-comparative-advantage tasks | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p08 | Human-level general capability is not required for firms to substitute cheaper AI across many occupations | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p09 | Industry actors who invoke future catastrophe while resisting current regulation understate present harms, but their inconsistency does not make long-term risks negligible | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p10 | There is little basis for assuming that AI progress will permanently stop near current capability levels | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p11 | Irregular progress and future AI winters are compatible with substantial long-run capability growth | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p12 | Highly capable systems are difficult to align because formal objectives cannot fully capture designers’ nuanced goals and norms | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p13 | Even perfectly specified goals may produce harmful behavior when autonomous AI can manipulate a complex environment | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p14 | The potential harm from misalignment scales with system complexity and capability | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p15 | Current AI failures are early evidence of control difficulty while alignment research lags behind capabilities research | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p16 | Recognizing multiple categories of AI risk improves regulation in both practical and political terms | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p17 | Rules enacted for immediate harms can become an adaptable legal foundation for future AI threats | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p18 | Present-harm regulation can include model prescreening and constraints on hard-to-regulate development, thereby building controls relevant to advanced systems | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p19 | Acknowledging catastrophic risk can mobilize constituencies and resources for comprehensive regulation that also addresses present harms | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p20 | Uncertainty about AI’s overall effects and existential potential can strengthen rather than defeat the case for regulation | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p21 | Red-team requirements have dual use because they can test both current toxic outputs and future-oriented behavioral vulnerabilities | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p22 | Ownership, corporate-governance, and tort rules can jointly promote legal compliance, safer release incentives, and accountability for downstream harm | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| false-choice-ai-p23 | Application-specific rules remain necessary, but systemic AI regulation should be common ground because recognizing one risk generally facilitates recognition of others | The False Choice in the Debate Over Artificial Intelligence Regulation | unpaginated | machine-drafted-source-checked |
| ssrn-4666854-p01 | AI creates society-wide risks that justify regulating the technology itself rather than only its downstream applications | Systemic Regulation of AI | 545-546 | machine-drafted-source-checked |
| ssrn-4666854-p02 | AI risk ranges from current injuries to vulnerable communities through economic, political, physical, and possible existential harms | Systemic Regulation of AI | 545-546 | machine-drafted-source-checked |
| ssrn-4666854-p03 | cheap fine-tuning can strip safety controls from a costly foundation model | Systemic Regulation of AI | 547 | machine-drafted-source-checked |
| ssrn-4666854-p04 | the recent jump in AI capability undermines assumptions that consequential artificial intelligence belongs to a distant future | Systemic Regulation of AI | 547-548 | machine-drafted-source-checked |
| ssrn-4666854-p05 | 2023-era performance should be treated as a possible floor rather than a demonstrated ceiling | Systemic Regulation of AI | 548 | machine-drafted-source-checked |
| ssrn-4666854-p06 | the relevant regulatory object is an AI system: a model embedded in the world through an interface | Systemic Regulation of AI | 549 | machine-drafted-source-checked |
| ssrn-4666854-p07 | AI's practical footprint is already visible in violence, labor displacement, education, science, and creative work | Systemic Regulation of AI | 549 | machine-drafted-source-checked |
| ssrn-4666854-p08 | legal scholarship has concentrated on particular AI applications while leaving technology-level regulation underdeveloped | Systemic Regulation of AI | 550-551 | machine-drafted-source-checked |
| ssrn-4666854-p09 | continued AI development raises society-wide concerns demanding regulation commensurate with the scale of those concerns | Systemic Regulation of AI | 551 | machine-drafted-source-checked |
| ssrn-4666854-p10 | AI differs from earlier innovations because it learns unprogrammed tasks and develops capabilities that can surprise even its designers | Systemic Regulation of AI | 551-552 | machine-drafted-source-checked |
| ssrn-4666854-p11 | AI systems combine opacity with multimodal, real-world interfaces | Systemic Regulation of AI | 551-552 | machine-drafted-source-checked |
| ssrn-4666854-p12 | cheap replication and increasing autonomy amplify the systemic risk of capable AI | Systemic Regulation of AI | 552 | machine-drafted-source-checked |
| ssrn-4666854-p13 | the alignment problem links AI's technological features to its systemic risks | Systemic Regulation of AI | 552 | machine-drafted-source-checked |
| ssrn-4666854-p14 | existing technological doctrine is ill-equipped for highly capable AI and should be supplemented by tight oversight and safety investment | Systemic Regulation of AI | 552-553 | machine-drafted-source-checked |
| ssrn-4666854-p15 | the case for regulation does not depend on denying AI's potentially enormous benefits | Systemic Regulation of AI | 552-553 | machine-drafted-source-checked |
| ssrn-4666854-p16 | deep uncertainty about both benefits and harms supports prudence, precaution, and attention to worst cases | Systemic Regulation of AI | 553 | machine-drafted-source-checked |
| ssrn-4666854-p17 | law's longstanding project of aligning private conduct with communal interests gives lawyers useful experience for AI governance | Systemic Regulation of AI | 554-555 | machine-drafted-source-checked |
| ssrn-4666854-p18 | systemic AI regulation can be more efficient than a harm-by-harm approach | Systemic Regulation of AI | 555 | machine-drafted-source-checked |
| ssrn-4666854-p19 | choosing between immediate AI harms and long-term catastrophic risks is a false choice | Systemic Regulation of AI | 555 | machine-drafted-source-checked |
| ssrn-4666854-p20 | effective governance should combine ex ante agency oversight with ex post judicial enforcement | Systemic Regulation of AI | 555-556 | machine-drafted-source-checked |
| ssrn-4666854-p21 | regulators should prioritize obvious pathways to severe harm, including recursive improvement, broad physical interfaces, and risky open release | Systemic Regulation of AI | 556 | machine-drafted-source-checked |
| ssrn-4666854-p22 | domestic caution need not surrender strategic advantage because international AI safety is not a zero-sum game | Systemic Regulation of AI | 556 | machine-drafted-source-checked |
| ssrn-4666854-p23 | AI's special risk profile combines broad deployment risks with risks intrinsic to the systems themselves | Systemic Regulation of AI | 556-557 | machine-drafted-source-checked |
| ssrn-4666854-p24 | the boundary between present and future AI harms is inherently unstable | Systemic Regulation of AI | 557 | machine-drafted-source-checked |
| ssrn-4666854-p25 | algorithmic classifications now shape high-stakes decisions throughout firms, agencies, and courts | Systemic Regulation of AI | 557-558 | machine-drafted-source-checked |
| ssrn-4666854-p26 | biased AI can result from both underrepresentation and overrepresentation in training data | Systemic Regulation of AI | 558 | machine-drafted-source-checked |
| ssrn-4666854-p27 | prediction from historical data can carry past discrimination into a self-reinforcing future | Systemic Regulation of AI | 558 | machine-drafted-source-checked |
| ssrn-4666854-p28 | technical debiasing is limited when discrimination resides in social data and correlated proxies | Systemic Regulation of AI | 559 | machine-drafted-source-checked |
| ssrn-4666854-p29 | algorithmic decisions can scale discrimination while wrapping it in a false appearance of neutrality | Systemic Regulation of AI | 559 | machine-drafted-source-checked |
| ssrn-4666854-p30 | human and algorithmic discrimination are both pernicious but have different contours | Systemic Regulation of AI | 559 | machine-drafted-source-checked |
| ssrn-4666854-p31 | AI already assists fraud through malicious chatbots, generated images, romance scams, and voice cloning | Systemic Regulation of AI | 559-560 | machine-drafted-source-checked |
| ssrn-4666854-p32 | AI's chief contribution to fraud is scale | Systemic Regulation of AI | 560 | machine-drafted-source-checked |
| ssrn-4666854-p33 | ubiquitous AI deception may erode trust beyond the losses suffered by direct victims | Systemic Regulation of AI | 560 | machine-drafted-source-checked |
| ssrn-4666854-p34 | AI threatens privacy by inferring intimate facts from publicly available or seemingly innocuous data | Systemic Regulation of AI | 561 | machine-drafted-source-checked |
| ssrn-4666854-p35 | Target's pregnancy-prediction episode illustrates how algorithmic inference can disclose a fact before a person chooses to reveal it | Systemic Regulation of AI | 561 | machine-drafted-source-checked |
| ssrn-4666854-p36 | notice-and-choice privacy regimes become largely obsolete when future inferences are unpredictable | Systemic Regulation of AI | 561-562 | machine-drafted-source-checked |
| ssrn-4666854-p37 | pervasive algorithmic judgment may chill people into bland, widely accepted behavior | Systemic Regulation of AI | 562 | machine-drafted-source-checked |
| ssrn-4666854-p38 | facial recognition joined to pervasive cameras enables unprecedented location tracking and population monitoring | Systemic Regulation of AI | 562 | machine-drafted-source-checked |
| ssrn-4666854-p39 | law should prepare for plausible and concerning future AI risks without demanding certainty | Systemic Regulation of AI | 562-563 | machine-drafted-source-checked |
| ssrn-4666854-p40 | AI may increase aggregate output while concentrating gains and imposing large losses on workers | Systemic Regulation of AI | 563 | machine-drafted-source-checked |
| ssrn-4666854-p41 | sufficiently capable AI could replace human employees without creating new tasks in which humans retain comparative advantage | Systemic Regulation of AI | 563 | machine-drafted-source-checked |
| ssrn-4666854-p42 | the historical reinstatement of jobs after automation may be slow, costly, or incomplete in the AI transition | Systemic Regulation of AI | 563-564 | machine-drafted-source-checked |
| ssrn-4666854-p43 | AI can shift returns from labor toward capital and thereby deepen wealth inequality | Systemic Regulation of AI | 564 | machine-drafted-source-checked |
| ssrn-4666854-p44 | AI threatens educated and creative work in a way earlier automation often did not | Systemic Regulation of AI | 564-565 | machine-drafted-source-checked |
| ssrn-4666854-p45 | automated workers can be economically attractive even when less capable than humans | Systemic Regulation of AI | 565 | machine-drafted-source-checked |
| ssrn-4666854-p46 | mass automation could create social unrest and dependency that cash transfers alone would not cure | Systemic Regulation of AI | 565-566 | machine-drafted-source-checked |
| ssrn-4666854-p47 | even optimistic economic scenarios for AI carry substantial transition and distributional downsides | Systemic Regulation of AI | 566 | machine-drafted-source-checked |
| ssrn-4666854-p48 | AI-controlled weapons offer endurance, speed, and decision advantages over human forces | Systemic Regulation of AI | 566-567 | machine-drafted-source-checked |
| ssrn-4666854-p49 | AI may transform military strategy while also creating risks from misuse, accident, and loss of control | Systemic Regulation of AI | 567 | machine-drafted-source-checked |
| ssrn-4666854-p50 | real-world testing can never cover every situation an autonomous weapon will encounter | Systemic Regulation of AI | 567 | machine-drafted-source-checked |
| ssrn-4666854-p51 | black-box opacity magnifies the danger of lethal autonomous systems | Systemic Regulation of AI | 567-568 | machine-drafted-source-checked |
| ssrn-4666854-p52 | well-functioning autonomous weapons can still facilitate assassination and proliferation | Systemic Regulation of AI | 568 | machine-drafted-source-checked |
| ssrn-4666854-p53 | advanced military AI could enable inexpensive global power projection and unprecedented imperial advantage | Systemic Regulation of AI | 568 | machine-drafted-source-checked |
| ssrn-4666854-p54 | AI-enhanced surveillance and enforcement can entrench totalitarian rule | Systemic Regulation of AI | 568-569 | machine-drafted-source-checked |
| ssrn-4666854-p55 | AI can expand terrorist recruitment, targeting, and operational reach | Systemic Regulation of AI | 569 | machine-drafted-source-checked |
| ssrn-4666854-p56 | democracy depends on shared trust that votes matter, information is generally authentic, and elections are legitimate | Systemic Regulation of AI | 569 | machine-drafted-source-checked |
| ssrn-4666854-p57 | persuasive deepfakes and scalable misinformation make authentic political communication harder to verify | Systemic Regulation of AI | 569-570 | machine-drafted-source-checked |
| ssrn-4666854-p58 | automated astroturfing may damage democracy mainly by producing generalized distrust | Systemic Regulation of AI | 570 | machine-drafted-source-checked |
| ssrn-4666854-p59 | AI-generated participation can dilute the signaling value of genuine comments, letters, and objections | Systemic Regulation of AI | 570 | machine-drafted-source-checked |
| ssrn-4666854-p60 | alignment is the unresolved challenge of making AI goals match broad human values and interests | Systemic Regulation of AI | 570-571 | machine-drafted-source-checked |
| ssrn-4666854-p61 | small failures in simple AI systems provide evidence about the structure of alignment problems | Systemic Regulation of AI | 571 | machine-drafted-source-checked |
| ssrn-4666854-p62 | AI alignment resembles legal problems of aligning firms, managers, and employees with principals and society | Systemic Regulation of AI | 571-572 | machine-drafted-source-checked |
| ssrn-4666854-p63 | AI can undermine designers' intentions while pursuing assigned objectives with great efficiency | Systemic Regulation of AI | 572 | machine-drafted-source-checked |
| ssrn-4666854-p64 | complexity, autonomy, and rapidly changing capability jointly intensify alignment risk | Systemic Regulation of AI | 572-574 | machine-drafted-source-checked |
| ssrn-4666854-p65 | knowing how a model is built does not mean knowing how it represents or reasons about the world | Systemic Regulation of AI | 572-573 | machine-drafted-source-checked |
| ssrn-4666854-p66 | broad autonomy and real-world interfaces let AI agents choose strategies and act on environments | Systemic Regulation of AI | 573 | machine-drafted-source-checked |
| ssrn-4666854-p67 | GPT's rapid progression from below-guessing bar performance to a high percentile illustrates discontinuous regulatory surprise | Systemic Regulation of AI | 573-574 | machine-drafted-source-checked |
| ssrn-4666854-p68 | Goodhart's law explains why measured proxies can displace the goals regulators and designers actually value | Systemic Regulation of AI | 575 | machine-drafted-source-checked |
| ssrn-4666854-p69 | GenProg solved formal tasks by blanking output, cutting internet access, or deleting the test file | Systemic Regulation of AI | 575-576 | machine-drafted-source-checked |
| ssrn-4666854-p70 | diverse AI systems have exploited loopholes by crashing games, farming bugs, deleting outputs, or reading storage location instead of content | Systemic Regulation of AI | 576 | machine-drafted-source-checked |
| ssrn-4666854-p71 | greater capability, autonomy, and interface access create more routes for a system to subvert an incomplete objective | Systemic Regulation of AI | 577 | machine-drafted-source-checked |
| ssrn-4666854-p72 | a Tetris agent paused forever and a train controller immobilized trains because each literal solution optimized safety or duration | Systemic Regulation of AI | 577 | machine-drafted-source-checked |
| ssrn-4666854-p73 | fully specifying an AI goal is structurally similar to writing a complete contract | Systemic Regulation of AI | 577 | machine-drafted-source-checked |
| ssrn-4666854-p74 | many ultimate goals may generate common intermediate drives toward survival, resources, and environmental control | Systemic Regulation of AI | 578 | machine-drafted-source-checked |
| ssrn-4666854-p75 | the theoretical case for AI power seeking is stronger than the present empirical record | Systemic Regulation of AI | 578 | machine-drafted-source-checked |
| ssrn-4666854-p76 | deception is an early, subtler form of instrumental convergence | Systemic Regulation of AI | 578-579 | machine-drafted-source-checked |
| ssrn-4666854-p77 | GPT-4's use of a false vision-impairment story to obtain CAPTCHA help illustrates instrumental deception | Systemic Regulation of AI | 579 | machine-drafted-source-checked |
| ssrn-4666854-p78 | high capability does not imply ethical values | Systemic Regulation of AI | 579-580 | machine-drafted-source-checked |
| ssrn-4666854-p79 | many AI researchers assign nontrivial probability to severe human disempowerment or extinction from advanced systems | Systemic Regulation of AI | 580 | machine-drafted-source-checked |
| ssrn-4666854-p80 | catastrophic AI analysis faces an epistemic gap because one can predict goal pursuit without predicting the exact strategy | Systemic Regulation of AI | 580-582 | machine-drafted-source-checked |
| ssrn-4666854-p81 | warnings from leading AI developers and scientists are probative but not unanimous | Systemic Regulation of AI | 582 | machine-drafted-source-checked |
| ssrn-4666854-p82 | heterogeneous surveys collectively show that large-scale AI harm is no longer a fringe concern | Systemic Regulation of AI | 582-583 | machine-drafted-source-checked |
| ssrn-4666854-p83 | large-scale AI calamity is not highly likely in the authors' assessment, but its probability is sufficient to take seriously | Systemic Regulation of AI | 583 | machine-drafted-source-checked |
| ssrn-4666854-p84 | alignment investment is minuscule relative to investment in AI capability | Systemic Regulation of AI | 583 | machine-drafted-source-checked |
| ssrn-4666854-p85 | AI risk mitigation requires choices about institutional form, priority harms, and regulatory level | Systemic Regulation of AI | 583-584 | machine-drafted-source-checked |
| ssrn-4666854-p86 | industry self-regulation is inadequate for society-wide AI risks | Systemic Regulation of AI | 584 | machine-drafted-source-checked |
| ssrn-4666854-p87 | intrinsic AI risks require oversight of architecture, design, training, testing, and use | Systemic Regulation of AI | 585 | machine-drafted-source-checked |
| ssrn-4666854-p88 | technology-level regulation offers economies of scope across AI's many risks | Systemic Regulation of AI | 585 | machine-drafted-source-checked |
| ssrn-4666854-p89 | upstream regulation is critical because general-purpose models can be repurposed and cheaply disseminated | Systemic Regulation of AI | 585-586 | machine-drafted-source-checked |
| ssrn-4666854-p90 | systemic oversight can function as a catch-all for novel harms regulators cannot predict | Systemic Regulation of AI | 586 | machine-drafted-source-checked |
| ssrn-4666854-p91 | near-term and catastrophic AI risks are complementary rather than zero-sum | Systemic Regulation of AI | 586-588 | machine-drafted-source-checked |
| ssrn-4666854-p92 | regulation of immediate harms can create infrastructure for responding to more dangerous future systems | Systemic Regulation of AI | 587-588 | machine-drafted-source-checked |
| ssrn-4666854-p93 | acknowledging catastrophic risk can strengthen regulation of current discrimination, privacy, and fraud | Systemic Regulation of AI | 588 | machine-drafted-source-checked |
| ssrn-4666854-p94 | systemic oversight does not displace targeted AI laws | Systemic Regulation of AI | 588 | machine-drafted-source-checked |
| ssrn-4666854-p95 | AI is both unusually uncertain and capable of broad, transformative benefits | Systemic Regulation of AI | 589-590 | machine-drafted-source-checked |
| ssrn-4666854-p96 | the regulatory aim is not to ban AI development but to identify justified interventions relative to a largely unregulated baseline | Systemic Regulation of AI | 590 | machine-drafted-source-checked |
| ssrn-4666854-p97 | many celebrated AI benefits are inseparable from serious downside mechanisms | Systemic Regulation of AI | 590-591 | machine-drafted-source-checked |
| ssrn-4666854-p98 | AI belongs with beneficial but dangerous technologies that society regulates rather than abandons | Systemic Regulation of AI | 591 | machine-drafted-source-checked |
| ssrn-4666854-p99 | uncertainty applies to AI's hoped-for benefits as much as to its feared harms | Systemic Regulation of AI | 592 | machine-drafted-source-checked |
| ssrn-4666854-p100 | the precautionary principle is strongest when probabilities are unclear and the downside may be catastrophic | Systemic Regulation of AI | 592 | machine-drafted-source-checked |
| ssrn-4666854-p101 | maximin counsels choosing the policy with the best plausible worst-case outcome under deep uncertainty | Systemic Regulation of AI | 592-593 | machine-drafted-source-checked |
| ssrn-4666854-p102 | precautionary AI regulation need not suppress every deployment | Systemic Regulation of AI | 593 | machine-drafted-source-checked |
| ssrn-4666854-p103 | avoiding extinction may be justified even at the cost of extraordinarily large foregone gains | Systemic Regulation of AI | 593 | machine-drafted-source-checked |
| ssrn-4666854-p104 | AI rules can be relaxed temporarily if advanced systems become necessary to answer an external emergency | Systemic Regulation of AI | 593-594 | machine-drafted-source-checked |
| ssrn-4666854-p105 | present generations have a prima facie moral duty to err toward preserving humanity | Systemic Regulation of AI | 594 | machine-drafted-source-checked |
| ssrn-4666854-p106 | human extinction would erase not only lives but the continuing narrative that gives present contributions lasting significance | Systemic Regulation of AI | 594-595 | machine-drafted-source-checked |
| ssrn-4666854-p107 | domestic AI policy should begin from seven general principles rather than wait for a fully specified comprehensive code | Systemic Regulation of AI | 595 | machine-drafted-source-checked |
| ssrn-4666854-p108 | AI regulation should be systemic and include ex ante approval rather than rely on ex post enforcement | Systemic Regulation of AI | 595-596 | machine-drafted-source-checked |
| ssrn-4666854-p109 | ex ante oversight should cover architecture, objectives, training runs, testing, and deployment | Systemic Regulation of AI | 596 | machine-drafted-source-checked |
| ssrn-4666854-p110 | an AI licensing regime could require justification of safety, fairness, accuracy, transparency, accountability, resilience, and scenario planning | Systemic Regulation of AI | 596-597 | machine-drafted-source-checked |
| ssrn-4666854-p111 | United States AI regulation should be compatible with international strategy but not contingent on prior global agreement | Systemic Regulation of AI | 597 | machine-drafted-source-checked |
| ssrn-4666854-p112 | domestic AI legislation can signal commitment and shape international cooperation | Systemic Regulation of AI | 597 | machine-drafted-source-checked |
| ssrn-4666854-p113 | hardware export controls and investment restrictions should be evaluated as part of a coherent international AI strategy | Systemic Regulation of AI | 597-598 | machine-drafted-source-checked |
| ssrn-4666854-p114 | government should fund alignment research and require capability developers to invest materially in safety | Systemic Regulation of AI | 598 | machine-drafted-source-checked |
| ssrn-4666854-p115 | AI governance should use diverse and redundant regulatory approaches | Systemic Regulation of AI | 598 | machine-drafted-source-checked |
| ssrn-4666854-p116 | law should regulate or prohibit AI tools whose primary practical contribution is scalable fraud, harassment, or tortious conduct | Systemic Regulation of AI | 598-599 | machine-drafted-source-checked |
| ssrn-4666854-p117 | recursive self-improvement, source-code modification, high autonomy, and broad physical tool access warrant special precaution | Systemic Regulation of AI | 599 | machine-drafted-source-checked |
| ssrn-4666854-p118 | open release of large AI models can make harmful modification and dissemination effectively irreversible | Systemic Regulation of AI | 599-600 | machine-drafted-source-checked |
| ssrn-4666854-p119 | restrictions may appropriately cover architecture, weights, biases, and some outputs, not only executable products | Systemic Regulation of AI | 600 | machine-drafted-source-checked |
| ssrn-4666854-p120 | states should experiment with AI laws alongside federal action | Systemic Regulation of AI | 600 | machine-drafted-source-checked |
| ssrn-4666854-p121 | civil and constitutional litigation can compensate injuries caused by AI across tort, privacy, medicine, civil rights, fraud, and intellectual property | Systemic Regulation of AI | 600-601 | machine-drafted-source-checked |
| ssrn-4666854-p122 | lawsuits can operate as an early-warning system for dangerous or poorly designed AI | Systemic Regulation of AI | 601 | machine-drafted-source-checked |
| ssrn-4666854-p123 | liability can induce developers to test, secure, study, and document systems before deployment | Systemic Regulation of AI | 601 | machine-drafted-source-checked |
| ssrn-4666854-p124 | strict liability may fit AI harms because developers often control risk and victims face unusual proof barriers | Systemic Regulation of AI | 601-602 | machine-drafted-source-checked |
| ssrn-4666854-p125 | systemic AI liability can reach securities trading and algorithmic collusion as well as physical injury | Systemic Regulation of AI | 602 | machine-drafted-source-checked |
| ssrn-4666854-p126 | courts should prevent litigation from publicly disclosing sensitive model information | Systemic Regulation of AI | 602 | machine-drafted-source-checked |
| ssrn-4666854-p127 | AI governance requires an international component because systems, infrastructure, and harms cross borders | Systemic Regulation of AI | 602-603 | machine-drafted-source-checked |
| ssrn-4666854-p128 | strategic competition can create a regulatory race to the bottom even among states that understand AI danger | Systemic Regulation of AI | 602-603 | machine-drafted-source-checked |
| ssrn-4666854-p129 | history shows that states sometimes govern dangerous, strategically valuable technologies cooperatively | Systemic Regulation of AI | 603 | machine-drafted-source-checked |
| ssrn-4666854-p130 | domestic and international regulation can reinforce each other | Systemic Regulation of AI | 603 | machine-drafted-source-checked |
| ssrn-4666854-p131 | AI governance requires a calibrated mixture of transparency and secrecy | Systemic Regulation of AI | 603-604 | machine-drafted-source-checked |
| ssrn-4666854-p132 | transparency should improve explainability, trace major actors, and share safety failures | Systemic Regulation of AI | 604 | machine-drafted-source-checked |
| ssrn-4666854-p133 | public registries can organize information about AI actors, uses, risks, and compliance | Systemic Regulation of AI | 604-605 | machine-drafted-source-checked |
| ssrn-4666854-p134 | emerging AI registries show that transparency can be adapted to cities, nations, high-risk systems, and scientific research | Systemic Regulation of AI | 605-606 | machine-drafted-source-checked |
| ssrn-4666854-p135 | sensitive AI disclosures can be confined to trusted regulators rather than made public | Systemic Regulation of AI | 606 | machine-drafted-source-checked |
| ssrn-4666854-p136 | harmonized AI rules can reduce races to the bottom, relocation to weak jurisdictions, trade conflict, and duplicative burdens | Systemic Regulation of AI | 606-607 | machine-drafted-source-checked |
| ssrn-4666854-p137 | registries and model standards can promote convergence without identical national statutes | Systemic Regulation of AI | 607 | machine-drafted-source-checked |
| ssrn-4666854-p138 | international technology assessments can identify risks, engage publics, and reshape development trajectories | Systemic Regulation of AI | 607-608 | machine-drafted-source-checked |
| ssrn-4666854-p139 | OECD assessments of genetically modified organisms show the value and limits of consensus documents | Systemic Regulation of AI | 608 | machine-drafted-source-checked |
| ssrn-4666854-p140 | an international AI agency could combine assessment, expert convening, technical tools, and rapid guidance | Systemic Regulation of AI | 608-609 | machine-drafted-source-checked |
| ssrn-4666854-p141 | soft law offers speed, flexibility, and international reach but lacks direct enforceability | Systemic Regulation of AI | 609 | machine-drafted-source-checked |
| ssrn-4666854-p142 | procurement, insurance, publication, and incorporation into domestic law can give soft standards practical force | Systemic Regulation of AI | 609-610 | machine-drafted-source-checked |
| ssrn-4666854-p143 | OECD and UNESCO principles establish broad international norms for trustworthy and ethical AI | Systemic Regulation of AI | 610-611 | machine-drafted-source-checked |
| ssrn-4666854-p144 | private multi-stakeholder AI principles broaden participation but often remain aspirational | Systemic Regulation of AI | 611 | machine-drafted-source-checked |
| ssrn-4666854-p145 | technical standards translate general AI ethics into more specific management, governance, bias, transparency, and risk practices | Systemic Regulation of AI | 611-612 | machine-drafted-source-checked |
| ssrn-4666854-p146 | treaties can impose binding AI obligations but are slow to negotiate, hard to amend, and often weakly enforced against private actors | Systemic Regulation of AI | 612-613 | machine-drafted-source-checked |
| ssrn-4666854-p147 | national AI regimes generally fall into existing-law, risk-tiering, or preapproval approaches | Systemic Regulation of AI | 613 | machine-drafted-source-checked |
| ssrn-4666854-p148 | the United Kingdom's context-specific, existing-law approach shows political interest but misses systemic risks | Systemic Regulation of AI | 613-614 | machine-drafted-source-checked |
| ssrn-4666854-p149 | the European Union's tiered AI Act combines prohibitions, high-risk duties, transparency rules, and lighter treatment of low-risk uses | Systemic Regulation of AI | 614-615 | machine-drafted-source-checked |
| ssrn-4666854-p150 | the EU approach still leaves military systems, alignment, and recursive self-improvement insufficiently governed | Systemic Regulation of AI | 615 | machine-drafted-source-checked |
| ssrn-4666854-p151 | China's generative-AI rules impose registration, data-quality, security-assessment, privacy, transparency, and content duties on public-facing providers | Systemic Regulation of AI | 615-616 | machine-drafted-source-checked |
| ssrn-4666854-p152 | China's rules exclude internal and governmental AI use, leaving national-security and surveillance risks insufficiently constrained | Systemic Regulation of AI | 616 | machine-drafted-source-checked |
| ssrn-4666854-p153 | an ICAO-style institution could coordinate technical standards where harmonization matters more than coercive inspection | Systemic Regulation of AI | 616 | machine-drafted-source-checked |
| ssrn-4666854-p154 | an IAEA-style AI body could inspect systems, require audits, test compliance, and restrict dangerous deployment | Systemic Regulation of AI | 616-617 | machine-drafted-source-checked |
| ssrn-4666854-p155 | AI oversight is more difficult than nuclear governance because computation is diffuse, private activity is central, and development is rapid | Systemic Regulation of AI | 617 | machine-drafted-source-checked |
| ssrn-4666854-p156 | international AI governance can operate through state obligations even without a powerful global regulator | Systemic Regulation of AI | 617 | machine-drafted-source-checked |
| ssrn-4666854-p157 | registries, principles, standards, and domestic laws are accreting into an international AI governance network | Systemic Regulation of AI | 618 | machine-drafted-source-checked |
| ssrn-4666854-p158 | comprehensive regulation is necessary to realize AI's benefits while addressing present harm, future disruption, misuse, and misalignment | Systemic Regulation of AI | 618-619 | machine-drafted-source-checked |
| ssrn-4666854-p159 | epistemic humility supports robust systemic regulation rather than passivity | Systemic Regulation of AI | 619 | machine-drafted-source-checked |
| open-questions-ai-safety-p01 | Frontier AI may amplify both technological benefits and society-wide risks beyond those of earlier technologies | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p02 | Uncertainty about AI’s path increases the importance of proactive legal work rather than justifying delay | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p03 | A multidisciplinary workshop produced shared propositions and a preliminary agenda meant to widen legal participation in AI safety | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p04 | Workshop participants agreed on society-wide AI impact while disagreeing about its extent, character, and timeline | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p05 | AI safety concerns encompass large-scale threats to life, bodily integrity, and freedom through many distinct causal pathways | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p06 | Safety risks are likely to intensify as systems gain capability and autonomy and become embedded throughout society and the economy | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p07 | Lawyers have distinctive expertise because AI alignment is a principal-agent problem shaped by incentives and collective action | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p08 | Lawyers can design rules for unpredictable systems, combine ex ante and ex post tools, and translate across specialized disciplines | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p09 | AI safety encompasses large-scale threats to life, bodily integrity, autonomy, and the environment arising through misuse, system failure, or misaligned action | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p10 | Dual-use language and biological models may lower barriers to developing explosives, chemical weapons, or dangerous pathogens | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p11 | AI coding capabilities can amplify cyberattacks and expose critical infrastructure to large-scale disruption | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p12 | Commercial pressure to automate labor will place AI agents in digital and physical environments where both intended goals and unexpected conduct can cause social harm | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p13 | General capability, autonomy, tool access, self-improvement, and opacity can compound AI risk while making auditing more difficult | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p14 | AI risk is driven not only by model properties but also by markets, geopolitics, industry structure, oversight failures, politics, public knowledge, and the supply of safety research | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p15 | AI safety presents legal questions across fields, and lawyers need not master advanced mathematics or engineering before contributing | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p16 | Institutional collaboration can lower entry costs and organize legal research on AI safety | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p17 | The question list is a preliminary and nonexhaustive research agenda meant to evolve rather than a settled policy program | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p18 | AI regulation first requires defensible choices about the regulable unit and the organizational level at which safety duties attach | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p19 | A safety regime must investigate when intervention is justified, whether some technologies should be banned, and where along the AI supply chain rules should operate | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p20 | Foundational AI governance must address geopolitical enforcement, deceptive or inscrutable systems, regulatory obsolescence, and threshold mechanisms such as disclosure, registration, or licensing | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p21 | International AI-safety research must compare regulatory blueprints, combinations of hard and soft law, and institutions capable of slowing dangerous competitive races | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p22 | AI-safety governance must investigate how human rights apply and whether global norms can legitimately accommodate cultural variation | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p23 | National-security law must govern AI-enabled weapons across creation and deployment, including human control, proportionality, humanitarian law, and fitness for use | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p24 | AI national-security governance must reconcile secrecy and oversight while clarifying sovereignty, attack attribution, export controls, influence operations, and sensitive data | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p25 | American AI-safety regulation must be designed within institutional and constitutional limits involving agency authority, federalism, property, and speech | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p26 | AI governance must reconcile regulatory agility with the major questions doctrine and compare centralized, decentralized, and redundant safety architectures | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p27 | Antitrust analysis must distinguish safety-enhancing coordination and concentration from collusion, exclusion, entry barriers, and the risks of centralized AI infrastructure | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p28 | Private law must adapt contracts, agency, organizational forms, and liability to reward hacking, autonomous agents, large-scale harms, and injuries without an obvious human victim | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p29 | Criminal law must clarify responsibility among laboratories, users, and AI agents while assessing new offenses, sanctions, and investigative limits | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p30 | Tax policy could shape the pace, distribution, and internalization of AI risk, but its targets and incidence require careful study | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p31 | AI safety research must address environmental costs and injuries alongside capture, self-regulation, market governance, political trust, and changes to governing institutions | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| open-questions-ai-safety-p32 | Innovation and corporate law should be studied as safety levers through patents, trade secrecy, alternative rewards, board oversight, executive incentives, limited liability, and agent transactions | Open Questions in Law and AI Safety: An Emerging Research Agenda | unpaginated | machine-drafted-source-checked |
| ssrn-4491043-p01 | The no-reading problem weakens informed consumer choice and sellers' incentives to offer fair and efficient standard terms | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 1-3 | machine-drafted-source-checked |
| ssrn-4491043-p02 | Evaluating present-generation smart readers remains worthwhile despite rapid model improvement because the immediate question is whether existing tools have crossed a practical utility threshold | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 3-4 | machine-drafted-source-checked |
| ssrn-4491043-p03 | The tested smart readers greatly shortened and simplified consumer legal texts without generally sacrificing their essential information | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 1-4 | machine-drafted-source-checked |
| ssrn-4491043-p04 | Smart readers are not substitutes for qualified lawyers but can still be effective where consumers' realistic alternative is no review at all | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 1-4 | machine-drafted-source-checked |
| ssrn-4491043-p05 | Consumer nonreadership has multiple causes, including rational apathy, behavioral bias, take-it-or-leave-it terms, trust, social norms, and expectations of judicial protection | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 4-5 | machine-drafted-source-checked |
| ssrn-4491043-p06 | Firms can pursue a HIDE strategy by making terms Hardly Interpretable but Dependably Enforceable | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 5 | machine-drafted-source-checked |
| ssrn-4491043-p07 | Traditional responses to unreadable contracts rely on duties to read, plain-language laws, disclosure formatting, and readability requirements | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 5-6 | machine-drafted-source-checked |
| ssrn-4491043-p08 | One-size-fits-all plain-language regulation poorly matches the diversity of consumer literacy, cognition, language, experience, and visual capacity | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 6 | machine-drafted-source-checked |
| ssrn-4491043-p09 | Many readability reforms neglect contract length even though a plain but extremely long document may still go unread | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 6 | machine-drafted-source-checked |
| ssrn-4491043-p10 | Smart readers shift interpretive power toward consumers because they can parse and personalize seller-drafted text without the seller's cooperation | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 6-7 | machine-drafted-source-checked |
| ssrn-4491043-p11 | Early GPT-2 and GPT-3 demonstrations established possibility but not reliability because outputs were sporadic, cherry-picked, meandering, or misleading | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 7 | machine-drafted-source-checked |
| ssrn-4491043-p12 | The early weaknesses of smart readers appeared to arise from limited data and compute rather than a missing conceptual breakthrough | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 7 | machine-drafted-source-checked |
| ssrn-4491043-p13 | GPT-4's exam performance, mass adoption, low user cost, and ease of use justify treating smart readers as a present policy question | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 7-8 | machine-drafted-source-checked |
| ssrn-4491043-p14 | The study uses eight contracts and privacy policies from major services across different industries, lengths, and complexity levels | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 8-9 | machine-drafted-source-checked |
| ssrn-4491043-p15 | A meaningful smart-reader evaluation must measure readability, length, and substantive quality separately | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 9-10 | machine-drafted-source-checked |
| ssrn-4491043-p16 | Standard readability formulas are limited and manipulable because they infer difficulty from surface features rather than meaning | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 9-10 | machine-drafted-source-checked |
| ssrn-4491043-p17 | The Combined Readability Measure reduces implementation gaming by averaging within and across several readability tests | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 9-10 | machine-drafted-source-checked |
| ssrn-4491043-p18 | Substantive quality is indispensable because a shorter, simpler contract may omit precisely the rights and risks consumers need to know | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 10 | machine-drafted-source-checked |
| ssrn-4491043-p19 | Smart readers may reasonably use competent, inexpensive models rather than the most expensive state-of-the-art system | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 10 | machine-drafted-source-checked |
| ssrn-4491043-p20 | Context-window limits required a custom pipeline that split contracts into full-sentence chunks, simplified each chunk, and recombined the outputs | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 10-11 | machine-drafted-source-checked |
| ssrn-4491043-p21 | Prompt wording is a critical treatment variable because small changes can radically alter simplification quality | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 11 | machine-drafted-source-checked |
| ssrn-4491043-p22 | The prompt itself embodied a tradeoff because adding detail could improve guidance while consuming scarce context space | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 11 | machine-drafted-source-checked |
| ssrn-4491043-p23 | The analysis combines document-level metrics, a trap-based quality audit, and close review of eight difficult clauses | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 11-12 | machine-drafted-source-checked |
| ssrn-4491043-p24 | Across contracts and models, simplified outputs averaged about thirty percent of the original word count | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 12-13 | machine-drafted-source-checked |
| ssrn-4491043-p25 | Models varied dramatically in compression even under the same prompt | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 13 | machine-drafted-source-checked |
| ssrn-4491043-p26 | Smart readers reduced the number of difficult words by an average of 328, or sixty-one percent | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 13-14 | machine-drafted-source-checked |
| ssrn-4491043-p27 | The average model improved Flesch-Kincaid readability by 1.47 grade levels, while Claude-001 improved it by 5.6 grades to about grade 5.4 | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 14-15 | machine-drafted-source-checked |
| ssrn-4491043-p28 | The more robust CRM measure showed a smaller average gain of about one grade but still found a roughly five-grade improvement for Claude-001 | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 15-16 | machine-drafted-source-checked |
| ssrn-4491043-p29 | Some models made contracts more complex despite an explicit simplification prompt | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 16 | machine-drafted-source-checked |
| ssrn-4491043-p30 | Both ChatGPT-Turbo and Claude made the sampled Spotify terms substantially simpler while retaining most important consumer information | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 16-17 | machine-drafted-source-checked |
| ssrn-4491043-p31 | ChatGPT-Turbo preserved nine of eleven identified traps, and partially different model omissions support ensemble review | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 17 | machine-drafted-source-checked |
| ssrn-4491043-p32 | Chunking can cause omissions and presentation problems by disrupting the flow and interdependence of contractual provisions | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 17 | machine-drafted-source-checked |
| ssrn-4491043-p33 | Hard-case selection is more informative than random-clause accuracy for assessing consumer protection | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 17-18 | machine-drafted-source-checked |
| ssrn-4491043-p34 | GPT-4 effectively simplified the Wall Street Journal's unilateral-change clause but blurred notice as a condition of effectiveness | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 18-19 | machine-drafted-source-checked |
| ssrn-4491043-p35 | The WSJ modification output cut 26 percent of the words and approximately eight grade levels while preserving most operative meaning | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 19-20 | machine-drafted-source-checked |
| ssrn-4491043-p36 | The arbitration simplification improved accessibility but made the term “arbitration” less salient by retitling the clause “Solving Disputes” | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 20-22 | machine-drafted-source-checked |
| ssrn-4491043-p37 | Replacing “intellectual property” with “ideas,” “class actions” with “group actions,” and award entry with award “use” changes legal meaning | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 20-22 | machine-drafted-source-checked |
| ssrn-4491043-p38 | Omitting the consumer's right to bring issues to government agencies is a substantively important loss | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 20-22 | machine-drafted-source-checked |
| ssrn-4491043-p39 | Translating “equitable relief” as “fair changes” illustrates a genuine conflict between doctrinal precision and lay comprehension | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 22-23 | machine-drafted-source-checked |
| ssrn-4491043-p40 | GPT-4 halved and greatly simplified Airbnb's data-collection clause while preserving its overall architecture | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 23-25 | machine-drafted-source-checked |
| ssrn-4491043-p41 | The Airbnb simplification omitted surprising data such as friends lists and misrepresented consent as always required for some background checks | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 24-25 | machine-drafted-source-checked |
| ssrn-4491043-p42 | The Netflix simplification committed a major legal inversion by saying the law prevents refunds | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 26-27 | machine-drafted-source-checked |
| ssrn-4491043-p43 | Surface improvements can coexist with a rights-undermining error | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 26-27 | machine-drafted-source-checked |
| ssrn-4491043-p44 | The Amazon content summary was broadly effective but omitted explicit bans on email spoofing and political campaigning | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 27-29 | machine-drafted-source-checked |
| ssrn-4491043-p45 | Simplification's casual tone can understate the gravity of user warranties and indemnity obligations | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 28-29 | machine-drafted-source-checked |
| ssrn-4491043-p46 | The Amazon content output achieved a dramatic grade-level improvement while increasing sentence count | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 29-30 | machine-drafted-source-checked |
| ssrn-4491043-p47 | The Amazon risk-of-loss simplification explains title transfer but fails to make the consumer's delivery risk sufficiently explicit | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 30-31 | machine-drafted-source-checked |
| ssrn-4491043-p48 | The returns summary similarly fails to spell out who bears loss before a returned item reaches Amazon's fulfillment center | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 30-31 | machine-drafted-source-checked |
| ssrn-4491043-p49 | Smart readers cannot fully repair a privacy clause whose original drafting is internally inconsistent | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 32-34 | machine-drafted-source-checked |
| ssrn-4491043-p50 | Firms may respond strategically to smart readers by drafting terms that confuse or circumvent automated interpretation | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 34 | machine-drafted-source-checked |
| ssrn-4491043-p51 | The Yahoo simplification usefully clarified much of the clause but may overstate consent and omitted the opaque cookie-matching practice | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 34 | machine-drafted-source-checked |
| ssrn-4491043-p52 | The Spotify summary conveyed the disclaimer's broad message but mistranslated several distinct damages doctrines | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 35-37 | machine-drafted-source-checked |
| ssrn-4491043-p53 | The Spotify source clause itself is inconsistent about whether the user's sole remedy is exit, damages are capped at thirty dollars, or mandatory law preserves liability | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 35-37 | machine-drafted-source-checked |
| ssrn-4491043-p54 | The Spotify output shows that formulaic readability can improve even when a long, inaccessible structure and substantive errors remain | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 37-38 | machine-drafted-source-checked |
| ssrn-4491043-p55 | Across the eight difficult clauses, smart readers roughly halved the estimated education level and generally improved accessibility | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 38-39 | machine-drafted-source-checked |
| ssrn-4491043-p56 | Simpler clauses may still go unread, so linguistic improvement does not by itself solve consumer inattention | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 38-39 | machine-drafted-source-checked |
| ssrn-4491043-p57 | Quality was generally high but errors ranged from minor presentation choices to omissions and misleading changes affecting substantive rights | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 39 | machine-drafted-source-checked |
| ssrn-4491043-p58 | General-purpose models may lack the domain expertise needed to distinguish legal terms of art from ordinary difficult words | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 39 | machine-drafted-source-checked |
| ssrn-4491043-p59 | Courts may create a new risk if they treat a smart reader's paraphrase as the operative contract when that interpretation favors the seller | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 39 | machine-drafted-source-checked |
| ssrn-4491043-p60 | The study does not meaningfully test bias, toxicity, or hallucination and therefore cannot establish overall smart-reader safety | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 39 | machine-drafted-source-checked |
| ssrn-4491043-p61 | Perfection is the wrong benchmark when most consumers presently proceed with vague understanding after reading none of the legal text | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 40 | machine-drafted-source-checked |
| ssrn-4491043-p62 | Smart readers can undermine HIDE by making important terms visible and thereby strengthen competition over contractual quality | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 40 | machine-drafted-source-checked |
| ssrn-4491043-p63 | Smart readers may be especially useful after a dispute arises because consumers then have focused questions and stronger motivation to examine terms | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 40 | machine-drafted-source-checked |
| ssrn-4491043-p64 | Smart readers can empower intermediaries and consumer organizations as well as individual readers | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 40-41 | machine-drafted-source-checked |
| ssrn-4491043-p65 | Results from nonspecialized models with little domain training should be treated as a lower bound on the potential of dedicated smart readers | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 41 | machine-drafted-source-checked |
| ssrn-4491043-p66 | Company influence, adversarial drafting, bias, and nonneutral errors must remain central as smart readers gain market power | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 41 | machine-drafted-source-checked |
| ssrn-4491043-p67 | Massive open-source models may reduce the risk of invisible corruption in consumer smart readers | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 41 | machine-drafted-source-checked |
| ssrn-4491043-p68 | Current-generation smart readers have arrived as cheap, effective, and scalable aids for the mass of contracts and privacy policies that otherwise go unread | How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem | 40-41 | machine-drafted-source-checked |
| ssrn-4021605-p01 | Defamation law is best understood in substantial part as the law of social status rather than solely as protection of honor, dignity, or property | A Status Theory of Defamation Law | 1-4 | machine-drafted-source-checked |
| ssrn-4021605-p02 | Status theory improves defamation law descriptively, functionally, and normatively | A Status Theory of Defamation Law | 1 | machine-drafted-source-checked |
| ssrn-4021605-p03 | Proposals to reform defamation law need a defensible account of the tort’s purpose before altering its constitutional balance | A Status Theory of Defamation Law | 1-6 | machine-drafted-source-checked |
| ssrn-4021605-p04 | The pursuit of relative social status is a fundamental and consequential form of human behavior | A Status Theory of Defamation Law | 3 | machine-drafted-source-checked |
| ssrn-4021605-p05 | Legal scholarship’s neglect of status is especially costly in defamation, where loss of standing is central to the injury | A Status Theory of Defamation Law | 4 | machine-drafted-source-checked |
| ssrn-4021605-p06 | Status theory can rationalize much of defamation doctrine as the product of a long-standing but unarticulated concern with social standing | A Status Theory of Defamation Law | 4 | machine-drafted-source-checked |
| ssrn-4021605-p07 | Defamation law has ex ante behavioral effects on the status games people choose and the effort they invest in them | A Status Theory of Defamation Law | 5 | machine-drafted-source-checked |
| ssrn-4021605-p08 | The social value of status competition depends on the games through which status is earned | A Status Theory of Defamation Law | 5 | machine-drafted-source-checked |
| ssrn-4021605-p09 | Bigoted defamation claims should fail because they seek legal reinforcement of an illegitimate status game, not because prejudice causes no actual status harm | A Status Theory of Defamation Law | 6-7 | machine-drafted-source-checked |
| ssrn-4021605-p10 | Courts already select among status games, and acknowledging that role is necessary for accountability and principled doctrine | A Status Theory of Defamation Law | 8 | machine-drafted-source-checked |
| ssrn-4021605-p11 | A complete status account must separate social status from economic reputation and must not claim to exhaust defamation law | A Status Theory of Defamation Law | 9 | machine-drafted-source-checked |
| ssrn-4021605-p12 | The conventional claim that defamation protects reputation from harm leaves an interpretive gap about the nature, boundaries, and success of the tort | A Status Theory of Defamation Law | 10-11 | machine-drafted-source-checked |
| ssrn-4021605-p13 | The dominant tripartite theory treats defamation as protecting honor, property, and dignity but leaves serious internal gaps | A Status Theory of Defamation Law | 11 | machine-drafted-source-checked |
| ssrn-4021605-p14 | Honor defined as inherited social station is normatively obsolete and doctrinally mismatched to defamation’s focus on false factual assertions | A Status Theory of Defamation Law | 11-12 | machine-drafted-source-checked |
| ssrn-4021605-p15 | Goodwill may be valuable and cultivated without becoming property in other people’s favorable opinions | A Status Theory of Defamation Law | 12-13 | machine-drafted-source-checked |
| ssrn-4021605-p16 | Innate and equal dignity cannot explain why good name is losable, unequal, and sometimes legally exhausted | A Status Theory of Defamation Law | 13 | machine-drafted-source-checked |
| ssrn-4021605-p17 | Dignity is primarily personal, while defamation is a relational and community-dependent social tort | A Status Theory of Defamation Law | 14 | machine-drafted-source-checked |
| ssrn-4021605-p18 | A dignity theory cannot readily explain defamation’s publication, falsity, fact-opinion, monetary-remedy, and apology rules | A Status Theory of Defamation Law | 14-15 | machine-drafted-source-checked |
| ssrn-4021605-p19 | Defamation doctrine is both overinclusive and underinclusive relative to dignity because it follows relational standing rather than personal offense | A Status Theory of Defamation Law | 15 | machine-drafted-source-checked |
| ssrn-4021605-p20 | Good-name interests contain two distinct but interrelated goods: economic reputation and social status | A Status Theory of Defamation Law | 16 | machine-drafted-source-checked |
| ssrn-4021605-p21 | Status is a socially produced rank that brings prestige, power, and voluntary deference within a group | A Status Theory of Defamation Law | 16-17 | machine-drafted-source-checked |
| ssrn-4021605-p22 | High status independently magnifies attention, evaluation, opportunity, and market advantage | A Status Theory of Defamation Law | 17-18 | machine-drafted-source-checked |
| ssrn-4021605-p23 | Status seeking can be instrumental, intrinsically rewarding, or an evolved adaptation to group cooperation | A Status Theory of Defamation Law | 18 | machine-drafted-source-checked |
| ssrn-4021605-p24 | Reputation is aggregated information that predicts future quality and permits its subject to capitalize on expected performance | A Status Theory of Defamation Law | 18-19 | machine-drafted-source-checked |
| ssrn-4021605-p25 | Status and reputation differ in object, value, production, observability, and social meaning | A Status Theory of Defamation Law | 19-20 | machine-drafted-source-checked |
| ssrn-4021605-p26 | Status is necessarily relative, whereas an entire market can in principle enjoy good reputations for quality | A Status Theory of Defamation Law | 20 | machine-drafted-source-checked |
| ssrn-4021605-p27 | Defamation doctrine’s own vocabulary of standing, hatred, ridicule, avoidance, and relational injury is status-laden | A Status Theory of Defamation Law | 20-21 | machine-drafted-source-checked |
| ssrn-4021605-p28 | The publication requirement follows necessarily from the social nature of status loss | A Status Theory of Defamation Law | 21 | machine-drafted-source-checked |
| ssrn-4021605-p29 | Community judgment and the audience’s own standing are integral to measuring status harm | A Status Theory of Defamation Law | 21-22 | machine-drafted-source-checked |
| ssrn-4021605-p30 | The libel-proof doctrine becomes intelligible if injury means a further decline from an already low status baseline | A Status Theory of Defamation Law | 22 | machine-drafted-source-checked |
| ssrn-4021605-p31 | The truth defense protects the integrity of legitimate status games by allowing deserved claims to standing to be tested | A Status Theory of Defamation Law | 22 | machine-drafted-source-checked |
| ssrn-4021605-p32 | Status theory’s fit suggests a proto-theory already embedded in law and a parsimonious refinement of earlier social accounts | A Status Theory of Defamation Law | 23 | machine-drafted-source-checked |
| ssrn-4021605-p33 | Status games are emergent rule systems governing how social rank is acquired, retained, lost, and translated into privileges | A Status Theory of Defamation Law | 23-24 | machine-drafted-source-checked |
| ssrn-4021605-p34 | Cringe and gossip reveal and enforce otherwise invisible rules of status competition | A Status Theory of Defamation Law | 24-25 | machine-drafted-source-checked |
| ssrn-4021605-p35 | Status games can create positive spillovers by rewarding civility, philanthropy, prosocial signaling, and relative wage equality | A Status Theory of Defamation Law | 25 | machine-drafted-source-checked |
| ssrn-4021605-p36 | Positional arms races can waste resources and increase danger without improving anyone’s final rank | A Status Theory of Defamation Law | 25-27 | machine-drafted-source-checked |
| ssrn-4021605-p37 | Status games are malleable enough that deliberate changes to rankings can redirect behavior toward social goods | A Status Theory of Defamation Law | 27 | machine-drafted-source-checked |
| ssrn-4021605-p38 | Defamation law secures fragile returns on status investment and thereby encourages participation in the underlying game | A Status Theory of Defamation Law | 27-29 | machine-drafted-source-checked |
| ssrn-4021605-p39 | What defamation law protects it encourages, and what it excludes from protection it discourages | A Status Theory of Defamation Law | 29 | machine-drafted-source-checked |
| ssrn-4021605-p40 | The familiar chilling-effects account is incomplete because liability can also secure valuable incentives within status games | A Status Theory of Defamation Law | 29 | machine-drafted-source-checked |
| ssrn-4021605-p41 | Individual defamation decisions inevitably encode judgments about service, chastity, bigotry, and other routes to status | A Status Theory of Defamation Law | 29-30 | machine-drafted-source-checked |
| ssrn-4021605-p42 | Courts should openly protect status earned in socially legitimate games and refuse protection for status derived from games society condemns | A Status Theory of Defamation Law | 30-31 | machine-drafted-source-checked |
| ssrn-4021605-p43 | Virtuous status games merit support when competition generates positive spillovers such as discovery, philanthropy, and art | A Status Theory of Defamation Law | 31-32 | machine-drafted-source-checked |
| ssrn-4021605-p44 | Ambivalent status games may warrant protection even when their ranking systems contain arbitrariness and bias | A Status Theory of Defamation Law | 32 | machine-drafted-source-checked |
| ssrn-4021605-p45 | Noxious status games built on pedigree or immutable identity should lose defamation law’s support | A Status Theory of Defamation Law | 32-33 | machine-drafted-source-checked |
| ssrn-4021605-p46 | American egalitarian rhetoric conceals pervasive civility rules and status hierarchies rather than proving their absence | A Status Theory of Defamation Law | 33-36 | machine-drafted-source-checked |
| ssrn-4021605-p47 | American law already regulates status through contempt, bans on dangerous competitions, taxation, valor rules, Olympic exclusivity, and trademark doctrine | A Status Theory of Defamation Law | 36-38 | machine-drafted-source-checked |
| ssrn-4021605-p48 | Courts and legislators should regulate status games cautiously and rarely, while recognizing that abstention is impossible in defamation cases | A Status Theory of Defamation Law | 38-39 | machine-drafted-source-checked |
| ssrn-4021605-p49 | Harm-centered doctrine handles bigoted defamation through artifice by ignoring actual prejudiced audiences or pretending bigotry has disappeared | A Status Theory of Defamation Law | 39-41 | machine-drafted-source-checked |
| ssrn-4021605-p50 | Denying protection to bigoted status claims destabilizes majority privilege without denying the reality of prejudice | A Status Theory of Defamation Law | 41-42 | machine-drafted-source-checked |
| ssrn-4021605-p51 | Courts should reject informant-defamation claims because the relevant anti-cooperation status game is illegitimate, not because inmate communities are incapable of real harm | A Status Theory of Defamation Law | 42-43 | machine-drafted-source-checked |
| ssrn-4021605-p52 | The irrebuttable per se rule for allegations of female unchastity cannot be explained as a neutral response to proven reputational harm | A Status Theory of Defamation Law | 44 | machine-drafted-source-checked |
| ssrn-4021605-p53 | The unchastity rule reinforced a threatened sexist purity game by making chaste status easier to defend and sexual autonomy easier to punish | A Status Theory of Defamation Law | 45 | machine-drafted-source-checked |
| ssrn-4021605-p54 | Making the unchastity rule formally gender neutral entrenches the underlying status game instead of achieving sexual equality | A Status Theory of Defamation Law | 45-46 | machine-drafted-source-checked |
| ssrn-4021605-p55 | Status theory can support broader group-libel or hate-speech regulation when racist speech helps construct objective social hierarchies | A Status Theory of Defamation Law | 46-47 | machine-drafted-source-checked |
| ssrn-4021605-p56 | Because status games are unavoidable, society should consciously nurture productive games and abandon hierarchies based on immutable identity | A Status Theory of Defamation Law | 47-48 | machine-drafted-source-checked |
| ssrn-4021605-p57 | If status is zero-sum, defamatory status loss redistributes rank and may be socially neutral or beneficial rather than inherently harmful | A Status Theory of Defamation Law | 48-49 | machine-drafted-source-checked |
| ssrn-4021605-p58 | In an ordinal model with identical utility from rank, defamation is welfare neutral because the target’s fall moves others upward | A Status Theory of Defamation Law | 49 | machine-drafted-source-checked |
| ssrn-4021605-p59 | In the cardinal-status model, marginal defamation increases modeled welfare when directed upward and reduces it when directed downward | A Status Theory of Defamation Law | 49-50 | machine-drafted-source-checked |
| ssrn-4021605-p60 | Within the stylized cardinal model, the welfare-maximizing modeled reduction in a high-status target’s standing continues until the target reaches the community mean | A Status Theory of Defamation Law | 51 | machine-drafted-source-checked |
| credibility-effect-p01 | Defamation doctrine’s bilateral balance omits audiences even though their belief converts publication into reputational harm | The Credibility Effect: Defamation Law and Audiences | 417-418 | machine-drafted-source-checked |
| credibility-effect-p02 | Effective defamation law can make speech more credible because audiences infer that legal sanctions deter false statements | The Credibility Effect: Defamation Law and Audiences | 418 | machine-drafted-source-checked |
| credibility-effect-p03 | The credibility effect helps when reports are true but can magnify misinformation and stigmatize innocent targets | The Credibility Effect: Defamation Law and Audiences | 417-418 | machine-drafted-source-checked |
| credibility-effect-p04 | Credibility effects make stricter law and deregulation potential trust-management tools pointing in opposite directions | The Credibility Effect: Defamation Law and Audiences | 418-419 | machine-drafted-source-checked |
| credibility-effect-p05 | The credibility effect faces informational, legal-consciousness, and cognitive objections that require empirical testing | The Credibility Effect: Defamation Law and Audiences | 419 | machine-drafted-source-checked |
| credibility-effect-p06 | Legally sophisticated intermediaries can transmit a credibility effect to audiences who do not understand defamation law themselves | The Credibility Effect: Defamation Law and Audiences | 419 | machine-drafted-source-checked |
| credibility-effect-p07 | A randomized vignette experiment tests whether assigned defamation-law effectiveness causally changes trust across four media | The Credibility Effect: Defamation Law and Audiences | 419-420 | machine-drafted-source-checked |
| credibility-effect-p08 | Effective defamation law creates a strong stigma from failure to sue, complicating the conventional vindication rationale | The Credibility Effect: Defamation Law and Audiences | 420 | machine-drafted-source-checked |
| credibility-effect-p09 | U.S. and U.K. participants converged in perceived actionability and showed a positive association between actionability and credibility | The Credibility Effect: Defamation Law and Audiences | 420-421 | machine-drafted-source-checked |
| credibility-effect-p10 | Defamation doctrine exposes false, public, reputation-damaging statements to damages while preserving breathing space for public debate | The Credibility Effect: Defamation Law and Audiences | 421-422 | machine-drafted-source-checked |
| credibility-effect-p11 | Omitting audiences from the marketplace-of-ideas framework creates a deep gap because reputational injury depends on belief | The Credibility Effect: Defamation Law and Audiences | 422 | machine-drafted-source-checked |
| credibility-effect-p12 | Adjacent empirical literatures provide conflicting predictions about whether people adjust credibility to incentives, source quality, and legal regulation | The Credibility Effect: Defamation Law and Audiences | 422-423 | machine-drafted-source-checked |
| credibility-effect-p13 | The primary experiment used 200 quality-screened online participants whose sample was more educated and whiter than the U.S. population | The Credibility Effect: Defamation Law and Audiences | 423-424 | machine-drafted-source-checked |
| credibility-effect-p14 | The primary design deliberately trades natural salience for internal validity and should estimate existence more confidently than magnitude | The Credibility Effect: Defamation Law and Audiences | 424 | machine-drafted-source-checked |
| credibility-effect-p15 | The treatment contrasts a regime where only false accusers likely face substantial damages with one where false accusers rarely face effective suit | The Credibility Effect: Defamation Law and Audiences | 424-425 | machine-drafted-source-checked |
| credibility-effect-p16 | The experiment uses serious, ambiguous allegations across newspaper, social media, television, and blog formats to test robustness across media | The Credibility Effect: Defamation Law and Audiences | 425-428 | machine-drafted-source-checked |
| credibility-effect-p17 | The newspaper scenario measures whether liability changes belief in an unsupported embezzlement allegation by an institutional source | The Credibility Effect: Defamation Law and Audiences | 425-426 | machine-drafted-source-checked |
| credibility-effect-p18 | The social-media scenario focuses on an employer’s accusation because a potentially judgment-proof individual speaker would weaken the treatment’s relevance | The Credibility Effect: Defamation Law and Audiences | 425-427 | machine-drafted-source-checked |
| credibility-effect-p19 | Neutralized television and blog scenarios test credibility effects without importing a famous outlet’s partisan reputation | The Credibility Effect: Defamation Law and Audiences | 427-428 | machine-drafted-source-checked |
| credibility-effect-p20 | Effective defamation law significantly increased perceived credibility in every tested medium by fourteen to twenty-six percent | The Credibility Effect: Defamation Law and Audiences | 428-429 | machine-drafted-source-checked |
| credibility-effect-p21 | Across conditions, effective law raised mean credibility from 54.6 to 65, a 10.4-point or nineteen-percent increase | The Credibility Effect: Defamation Law and Audiences | 428 | machine-drafted-source-checked |
| credibility-effect-p22 | The credibility treatment remains large and significant after controlling for education, its treatment interaction, and other demographics | The Credibility Effect: Defamation Law and Audiences | 428-429 | machine-drafted-source-checked |
| credibility-effect-p23 | Effective-law respondents used liability as a central credibility cue, whereas ineffective-law respondents substituted journalistic and contextual cues | The Credibility Effect: Defamation Law and Audiences | 429-430 | machine-drafted-source-checked |
| credibility-effect-p24 | Lay audiences reason as legal realists by considering awareness, litigation probability, resources, and collectability rather than nominal rules alone | The Credibility Effect: Defamation Law and Audiences | 430-431 | machine-drafted-source-checked |
| credibility-effect-p25 | A credibility shift can be behaviorally minimal for a distrusted claim or pivotal when an audience is near a decision threshold | The Credibility Effect: Defamation Law and Audiences | 431-432 | machine-drafted-source-checked |
| credibility-effect-p26 | Weak legal screening shifts audiences toward nonlegal credibility cues, potentially including source demographics | The Credibility Effect: Defamation Law and Audiences | 431 | machine-drafted-source-checked |
| credibility-effect-p27 | The standard vindication rationale treats a favorable judgment as an independent means of restoring reputation | The Credibility Effect: Defamation Law and Audiences | 432 | machine-drafted-source-checked |
| credibility-effect-p28 | Failure to sue produced a 36.4-point guilt stigma under effective law, with means of 52.6 versus 16.2 under ineffective law | The Credibility Effect: Defamation Law and Audiences | 432-433 | machine-drafted-source-checked |
| credibility-effect-p29 | Outside the laboratory, credibility effects can arise directly from perceived law or indirectly from regulated institutions’ track records | The Credibility Effect: Defamation Law and Audiences | 433-434 | machine-drafted-source-checked |
| credibility-effect-p30 | The second study measures credibility before mentioning law and then elicits perceived actionability from 101 U.S. and 99 U.K. participants | The Credibility Effect: Defamation Law and Audiences | 434-435 | machine-drafted-source-checked |
| credibility-effect-p31 | U.K. and U.S. participants gave nearly identical mean actionability ratings despite materially different libel regimes | The Credibility Effect: Defamation Law and Audiences | 435-436 | machine-drafted-source-checked |
| credibility-effect-p32 | Perceived actionability and credibility were positively correlated overall and in three of four scenarios, with a public-figure newspaper exception | The Credibility Effect: Defamation Law and Audiences | 436-437 | machine-drafted-source-checked |
| credibility-effect-p33 | Convergent actionability beliefs may reflect doctrinal misperception, common moral norms, or practical offsets between formal stringency and enforcement conditions | The Credibility Effect: Defamation Law and Audiences | 437-438 | machine-drafted-source-checked |
| credibility-effect-p34 | Misperceptions can amplify, mute, or redirect credibility, chilling, recourse, and vindication effects even when formal law does not change | The Credibility Effect: Defamation Law and Audiences | 437-438 | machine-drafted-source-checked |
| credibility-effect-p35 | The experiments show capacity and motivation to use legal cues but do not establish the size of the credibility effect in everyday life | The Credibility Effect: Defamation Law and Audiences | 438-440 | machine-drafted-source-checked |
| credibility-effect-p36 | Defamation law can be a trust-enhancing lever, but public communication may sometimes outperform doctrinal reform | The Credibility Effect: Defamation Law and Audiences | 440-441 | machine-drafted-source-checked |
| credibility-effect-p37 | Courts should balance speaker, target, and audience effects using domain-specific baseline trust and legal salience | The Credibility Effect: Defamation Law and Audiences | 441 | machine-drafted-source-checked |
| credibility-effect-p38 | Credibility effects may behave unexpectedly under identity-driven belief and extend to many legal regimes that police falsity | The Credibility Effect: Defamation Law and Audiences | 441-442 | machine-drafted-source-checked |
| ssrn-4631897-p01 | Contracts are falling in duration, stakes, and scope, and that change in scale has deep legal and social consequences | On the Scales of Private Law: Nano Contracts | 1-4 | machine-drafted-source-checked |
| ssrn-4631897-p02 | Nano contracts promise new transactions, income, and reduced dependence on ownership while creating risks of market creep, disparate impact, and regulatory failure | On the Scales of Private Law: Nano Contracts | 1-2 | machine-drafted-source-checked |
| ssrn-4631897-p03 | Nano contracts are digitally negotiated, automated, near-instantaneous peer-to-peer agreements involving tiny values, brief duration, or slivers of rights | On the Scales of Private Law: Nano Contracts | 4-5 | machine-drafted-source-checked |
| ssrn-4631897-p04 | Peer-to-peer nano contracts can reduce dependence on firms and platforms as transaction intermediaries | On the Scales of Private Law: Nano Contracts | 4-5 | machine-drafted-source-checked |
| ssrn-4631897-p05 | At nano scale, the boundary between an enforceable contract and a spot exchange becomes unstable | On the Scales of Private Law: Nano Contracts | 5-6 | machine-drafted-source-checked |
| ssrn-4631897-p06 | The gig economy demonstrates that a change in transactional form can destabilize employment and contract classifications | On the Scales of Private Law: Nano Contracts | 5-6 | machine-drafted-source-checked |
| ssrn-4631897-p07 | In law, scale has a quality of its own because changing the size of an interaction can generate new legal configurations | On the Scales of Private Law: Nano Contracts | 6 | machine-drafted-source-checked |
| ssrn-4631897-p08 | Nano contracts differ from smart contracts because their central problem is formation rather than execution | On the Scales of Private Law: Nano Contracts | 6 | machine-drafted-source-checked |
| ssrn-4631897-p09 | Nano contracting does not inherently require blockchain or cryptography | On the Scales of Private Law: Nano Contracts | 6 | machine-drafted-source-checked |
| ssrn-4631897-p10 | Nano contracts can open markets in interactions now governed only by social norms, producing both wealth and commodification | On the Scales of Private Law: Nano Contracts | 7-8 | machine-drafted-source-checked |
| ssrn-4631897-p11 | The relevant policy question is not only what innovation will break but whose interests and institutions will bear the loss | On the Scales of Private Law: Nano Contracts | 7-8 | machine-drafted-source-checked |
| ssrn-4631897-p12 | Traffic rules allocate a scarce right of way even though drivers usually experience them as commands rather than resource-allocation systems | On the Scales of Private Law: Nano Contracts | 9 | machine-drafted-source-checked |
| ssrn-4631897-p13 | First-in-first-out traffic rules ignore need, urgency, desert, and willingness to yield | On the Scales of Private Law: Nano Contracts | 9 | machine-drafted-source-checked |
| ssrn-4631897-p14 | Ordinary triage cannot efficiently allocate routine road priority because urgency is costly to verify and cheap to exaggerate | On the Scales of Private Law: Nano Contracts | 9-10 | machine-drafted-source-checked |
| ssrn-4631897-p15 | An automated penny auction could allocate right of way to the driver who values it most and compensate those who wait | On the Scales of Private Law: Nano Contracts | 10 | machine-drafted-source-checked |
| ssrn-4631897-p16 | Priority trading could improve control, flow, safety, and emissions while using tokens to address monetary inequality | On the Scales of Private Law: Nano Contracts | 10-11 | machine-drafted-source-checked |
| ssrn-4631897-p17 | The four-way-stop market also risks wealth-based priority, commodification, norm erosion, and dangerous breach | On the Scales of Private Law: Nano Contracts | 11 | machine-drafted-source-checked |
| ssrn-4631897-p18 | Small stakes do not make nano contracts legally trivial because earlier scale transformations produced profound social outcomes | On the Scales of Private Law: Nano Contracts | 11-12 | machine-drafted-source-checked |
| ssrn-4631897-p19 | The movement from status to contract was also a downscaling from all-encompassing legal identities to modular, terminable arrangements | On the Scales of Private Law: Nano Contracts | 12-14 | machine-drafted-source-checked |
| ssrn-4631897-p20 | Johann Sebastian Bach's move from status-bound service to formal contract illustrates both liberation and new conflict | On the Scales of Private Law: Nano Contracts | 13-14 | machine-drafted-source-checked |
| ssrn-4631897-p21 | The gig economy downscaled personal drivers, general service contracts, and home subleases into single rides, brief tasks, and one-night stays | On the Scales of Private Law: Nano Contracts | 14-15 | machine-drafted-source-checked |
| ssrn-4631897-p22 | Status, contract, gig, and nano arrangements form a historical arc of shrinking transactional blocks | On the Scales of Private Law: Nano Contracts | 15 | machine-drafted-source-checked |
| ssrn-4631897-p23 | Nano-contract scale is multidimensional across duration, stakes, and scope of rights | On the Scales of Private Law: Nano Contracts | 16 | machine-drafted-source-checked |
| ssrn-4631897-p24 | The Everything-as-a-Service model supplies market evidence for nanonizing products into the functions users actually need | On the Scales of Private Law: Nano Contracts | 16-17 | machine-drafted-source-checked |
| ssrn-4631897-p25 | Farming-as-a-service shows how disaggregation can provide capital-intensive functions without ownership | On the Scales of Private Law: Nano Contracts | 17 | machine-drafted-source-checked |
| ssrn-4631897-p26 | Nano contracts extend XaaS by moving from peer-to-firm access toward peer-to-peer exchange | On the Scales of Private Law: Nano Contracts | 17 | machine-drafted-source-checked |
| ssrn-4631897-p27 | Smart contracts streamline execution, while nano contracts streamline the creation of agreements at negligible cost and latency | On the Scales of Private Law: Nano Contracts | 18 | machine-drafted-source-checked |
| ssrn-4631897-p28 | Nano contracts must satisfy five linked constraints: triangulation, streamlined formation, payment, dispute resolution, and deterrent enforcement | On the Scales of Private Law: Nano Contracts | 19-20 | machine-drafted-source-checked |
| ssrn-4631897-p29 | Triangulation costs must be exceptionally small because locating a partner, setting price, and agreeing on terms can exceed nano surplus | On the Scales of Private Law: Nano Contracts | 19 | machine-drafted-source-checked |
| ssrn-4631897-p30 | Per-transaction deliberation and assent can make real-time nano contracting impossible | On the Scales of Private Law: Nano Contracts | 19-20 | machine-drafted-source-checked |
| ssrn-4631897-p31 | Payment processing must be faster and cheaper than infrastructure designed for ordinary card transactions | On the Scales of Private Law: Nano Contracts | 20 | machine-drafted-source-checked |
| ssrn-4631897-p32 | Ordinary courts, small claims, and even arbitration fit nano disputes poorly despite the need for trustworthy redress | On the Scales of Private Law: Nano Contracts | 20 | machine-drafted-source-checked |
| ssrn-4631897-p33 | Nano enforcement must impose enough expected cost to deter noncompliance even when collection itself is uneconomic | On the Scales of Private Law: Nano Contracts | 20 | machine-drafted-source-checked |
| ssrn-4631897-p34 | The gig economy shows that platforms and reputation can support small transactions, though neither institution is perfect | On the Scales of Private Law: Nano Contracts | 21 | machine-drafted-source-checked |
| ssrn-4631897-p35 | Protocols can reduce triangulation without granting a platform monopoly, but they shift costs to standard-setting and maintenance | On the Scales of Private Law: Nano Contracts | 21-22 | machine-drafted-source-checked |
| ssrn-4631897-p36 | Advance consent conveyed by an algorithm can form a valid nano contract when it has a verifiable pedigree of authorization | On the Scales of Private Law: Nano Contracts | 22-23 | machine-drafted-source-checked |
| ssrn-4631897-p37 | Nano payments can be supported by platform accumulation, lower-cost tokens, or future improvements in financial infrastructure | On the Scales of Private Law: Nano Contracts | 23-24 | machine-drafted-source-checked |
| ssrn-4631897-p38 | Reputation can discipline low-stakes conduct that no rational party would litigate | On the Scales of Private Law: Nano Contracts | 24-25 | machine-drafted-source-checked |
| ssrn-4631897-p39 | Platforms operate as corporate courthouses for more serious small-stakes disputes | On the Scales of Private Law: Nano Contracts | 25 | machine-drafted-source-checked |
| ssrn-4631897-p40 | High-stakes harms arising from nano-contract breach can still trigger ordinary tort and court processes | On the Scales of Private Law: Nano Contracts | 26 | machine-drafted-source-checked |
| ssrn-4631897-p41 | Contract interpretation may become easier as transactional scope shrinks because potential interactions among terms fall superlinearly | On the Scales of Private Law: Nano Contracts | 26 | machine-drafted-source-checked |
| ssrn-4631897-p42 | Platform responsibility, reputation, precautions, and escrow offer four complementary responses to nano enforcement costs | On the Scales of Private Law: Nano Contracts | 26-27 | machine-drafted-source-checked |
| ssrn-4631897-p43 | Queues are a large public-policy cost generated whenever demand exceeds service capacity | On the Scales of Private Law: Nano Contracts | 28-29 | machine-drafted-source-checked |
| ssrn-4631897-p44 | Queues allocate by willingness to wait rather than willingness to pay and tend to grow until waiting nearly consumes the good's value | On the Scales of Private Law: Nano Contracts | 29-30 | machine-drafted-source-checked |
| ssrn-4631897-p45 | First-in-line rules and limited priority exceptions poorly measure need, merit, or urgency | On the Scales of Private Law: Nano Contracts | 29-30 | machine-drafted-source-checked |
| ssrn-4631897-p46 | Moving a queue online can worsen allocation by eliminating the costly signal of physical waiting | On the Scales of Private Law: Nano Contracts | 30-31 | machine-drafted-source-checked |
| ssrn-4631897-p47 | The verification problem makes need-based priority costly, error-prone, and vulnerable to gaming | On the Scales of Private Law: Nano Contracts | 31 | machine-drafted-source-checked |
| ssrn-4631897-p48 | The grasshopper problem arises when accurate need verification rewards poor planning at the expense of prudent users | On the Scales of Private Law: Nano Contracts | 31-32 | machine-drafted-source-checked |
| ssrn-4631897-p49 | Peer-to-peer line trading can solve verification and grasshopper problems through voluntary compensated exchange | On the Scales of Private Law: Nano Contracts | 32-33 | machine-drafted-source-checked |
| ssrn-4631897-p50 | A bilateral place swap is Pareto improving when it leaves intervening participants unaffected | On the Scales of Private Law: Nano Contracts | 32 | machine-drafted-source-checked |
| ssrn-4631897-p51 | Peer-to-peer queue markets differ from existing priority products because compensation goes to those who wait rather than the controlling firm | On the Scales of Private Law: Nano Contracts | 33-34 | machine-drafted-source-checked |
| ssrn-4631897-p52 | Priority tokens can preserve preference-based allocation without tying access directly to wealth | On the Scales of Private Law: Nano Contracts | 34 | machine-drafted-source-checked |
| ssrn-4631897-p53 | Experimental line behavior suggests payment offers verify urgency even when social norms prevent recipients from taking the money | On the Scales of Private Law: Nano Contracts | 34-35 | machine-drafted-source-checked |
| ssrn-4631897-p54 | Nano protocols can create a norm in which requesting priority is an ordinary transaction rather than an uncomfortable favor | On the Scales of Private Law: Nano Contracts | 35-36 | machine-drafted-source-checked |
| ssrn-4631897-p55 | Sandel's ethic of the queue does not justify a blanket separation of waiting and markets | On the Scales of Private Law: Nano Contracts | 36-37 | machine-drafted-source-checked |
| ssrn-4631897-p56 | Willingness to wait is not inherently more egalitarian than willingness to pay because free time is unequally distributed | On the Scales of Private Law: Nano Contracts | 37-39 | machine-drafted-source-checked |
| ssrn-4631897-p57 | Voluntary line trading can be progressive by giving people the option to keep priority or monetize spare time | On the Scales of Private Law: Nano Contracts | 38-39 | machine-drafted-source-checked |
| ssrn-4631897-p58 | Periodic tradable tokens can target access concerns better than the existing queue system | On the Scales of Private Law: Nano Contracts | 39 | machine-drafted-source-checked |
| ssrn-4631897-p59 | Nano queue markets should be restricted or banned for publicly provisioned and morally constitutive goods | On the Scales of Private Law: Nano Contracts | 39-40 | machine-drafted-source-checked |
| ssrn-4631897-p60 | Regulation should target the supporting institutions of nano markets when anonymous individual trades are difficult to police | On the Scales of Private Law: Nano Contracts | 40 | machine-drafted-source-checked |
| ssrn-4631897-p61 | Cloggers may create artificial scarcity by entering queues solely to collect payments from urgent users | On the Scales of Private Law: Nano Contracts | 41 | machine-drafted-source-checked |
| ssrn-4631897-p62 | Clogging is a manageable risk because participants bear real costs and keyhole rules can target strategic abuse | On the Scales of Private Law: Nano Contracts | 41 | machine-drafted-source-checked |
| ssrn-4631897-p63 | Nano queue contracts are generally promising but require limits, tokens, and attention to social norms | On the Scales of Private Law: Nano Contracts | 41 | machine-drafted-source-checked |
| ssrn-4631897-p64 | Nano leases can monetize enormous idle capacity in household and commercial assets | On the Scales of Private Law: Nano Contracts | 42-44 | machine-drafted-source-checked |
| ssrn-4631897-p65 | Bandwidth sharing, food exchange, clothing rental, and drone passage illustrate diverse nano-lease forms | On the Scales of Private Law: Nano Contracts | 42-44 | machine-drafted-source-checked |
| ssrn-4631897-p66 | Underutilization does not necessarily mean waste because slack, exclusive access, and personhood can themselves be valuable | On the Scales of Private Law: Nano Contracts | 44-45 | machine-drafted-source-checked |
| ssrn-4631897-p67 | Nano leasing can improve household liquidity for lessors and reduce ownership burdens for lessees | On the Scales of Private Law: Nano Contracts | 45 | machine-drafted-source-checked |
| ssrn-4631897-p68 | Product-as-a-Service demonstrates demand for use without ownership, while p2p nano leases decentralize the supplier side | On the Scales of Private Law: Nano Contracts | 45-46 | machine-drafted-source-checked |
| ssrn-4631897-p69 | Nano contracts suggest a further institutional move from property to contract | On the Scales of Private Law: Nano Contracts | 46-49 | machine-drafted-source-checked |
| ssrn-4631897-p70 | Hyper-leasing may change the self and the social meaning of home, possession, and consumption | On the Scales of Private Law: Nano Contracts | 47-48 | machine-drafted-source-checked |
| ssrn-4631897-p71 | Reduced ownership through nano leasing can align with anti-consumerist and environmental goals despite its profit motive | On the Scales of Private Law: Nano Contracts | 48 | machine-drafted-source-checked |
| ssrn-4631897-p72 | Nano leases collapse doctrinal distinctions among sales, leases, and licenses | On the Scales of Private Law: Nano Contracts | 49-50 | machine-drafted-source-checked |
| ssrn-4631897-p73 | Commercializing excess capacity can shift costs to nonparticipants and communities | On the Scales of Private Law: Nano Contracts | 50-51 | machine-drafted-source-checked |
| ssrn-4631897-p74 | Upstream producers may use contract to prevent downstream nano leasing when shared use threatens sales or extracts rents | On the Scales of Private Law: Nano Contracts | 51 | machine-drafted-source-checked |
| ssrn-4631897-p75 | Nano leasing has potentially large environmental and access benefits but ambiguous effects on autonomy, doctrine, and distribution | On the Scales of Private Law: Nano Contracts | 51 | machine-drafted-source-checked |
| ssrn-4631897-p76 | Nano work can turn minutes of idle time and narrowly held skills into income-generating tasks | On the Scales of Private Law: Nano Contracts | 52-53 | machine-drafted-source-checked |
| ssrn-4631897-p77 | Casual nano work can operate as an anti-poverty tool for people excluded from formal employment | On the Scales of Private Law: Nano Contracts | 52-54 | machine-drafted-source-checked |
| ssrn-4631897-p78 | Regulatory arbitrage explains only part of the gig economy's value | On the Scales of Private Law: Nano Contracts | 53 | machine-drafted-source-checked |
| ssrn-4631897-p79 | Nano work intensifies the mismatch between employment protections and transactional classification | On the Scales of Private Law: Nano Contracts | 53-54 | machine-drafted-source-checked |
| ssrn-4631897-p80 | A broader social safety net may protect nano workers more effectively than forcing every fleeting task into a 1930s employment category | On the Scales of Private Law: Nano Contracts | 54 | machine-drafted-source-checked |
| ssrn-4631897-p81 | Turning every idle moment into paid work can shrink the autonomous space of leisure and selfhood | On the Scales of Private Law: Nano Contracts | 54-55 | machine-drafted-source-checked |
| ssrn-4631897-p82 | Nano gigs combine unmatched flexibility and inclusion with severe risks to worker rights and boundaries | On the Scales of Private Law: Nano Contracts | 55 | machine-drafted-source-checked |
| ssrn-4631897-p83 | Tort law governs accidents largely because transaction costs prevent potential injurers and victims from bargaining in advance | On the Scales of Private Law: Nano Contracts | 55-56 | machine-drafted-source-checked |
| ssrn-4631897-p84 | A real-time reverse auction can direct inevitable harm toward the party able to bear it at the lowest private cost | On the Scales of Private Law: Nano Contracts | 56-57 | machine-drafted-source-checked |
| ssrn-4631897-p85 | Negotiated accident compensation can exceed tort damages while saving the more valuable asset | On the Scales of Private Law: Nano Contracts | 57 | machine-drafted-source-checked |
| ssrn-4631897-p86 | Background tort law prevents accident victims from extracting unlimited monopoly prices | On the Scales of Private Law: Nano Contracts | 57 | machine-drafted-source-checked |
| ssrn-4631897-p87 | Repeated nano accident payments can induce efficient land use and precaution over time | On the Scales of Private Law: Nano Contracts | 57-58 | machine-drafted-source-checked |
| ssrn-4631897-p88 | Contractualizing bodily harm may violate deep moral norms even if property-damage bargains are efficient | On the Scales of Private Law: Nano Contracts | 58 | machine-drafted-source-checked |
| ssrn-4631897-p89 | Nano contracting can implement Coasean harm minimization while leaving distribution adjustable through the tort baseline | On the Scales of Private Law: Nano Contracts | 58 | machine-drafted-source-checked |
| ssrn-4631897-p90 | Nano contracts should be judged by the traffic jams created by existing trends, not dismissed as science fiction or renamed ordinary contracts | On the Scales of Private Law: Nano Contracts | 58-59 | machine-drafted-source-checked |
| ssrn-4631897-p91 | Smaller transactions can be simultaneously liberating and uncanny, and the legal response is a choice rather than an inevitable consequence of technology | On the Scales of Private Law: Nano Contracts | 59 | machine-drafted-source-checked |
| ssrn-4526219-p01 | Generative interpretation uses language models as an aid for reconstructing contractual meaning | Generative Interpretation | 455-460 | machine-drafted-source-checked |
| ssrn-4526219-p02 | Contract interpretation is substantially a backward-looking prediction about meaning, but prediction cannot settle every legal question | Generative Interpretation | 461-464 | machine-drafted-source-checked |
| ssrn-4526219-p03 | Existing interpretive methods trade off evidentiary richness, cost, consistency, and bias | Generative Interpretation | 464-473 | machine-drafted-source-checked |
| ssrn-4526219-p04 | LLMs can produce context-sensitive linguistic predictions even though their internal reasoning remains opaque | Generative Interpretation | 473-483 | machine-drafted-source-checked |
| ssrn-4526219-p05 | A language model can check judicial confidence about ordinary meaning by exposing a competing probabilistic reading | Generative Interpretation | 483-485 | machine-drafted-source-checked |
| ssrn-4526219-p06 | Model outputs can represent ambiguity as a distribution of plausible readings rather than a binary intuition | Generative Interpretation | 485-492 | machine-drafted-source-checked |
| ssrn-4526219-p07 | LLMs can test proposed gap fillers against the whole agreement and reveal both convergence and unresolved disagreement | Generative Interpretation | 492-495 | machine-drafted-source-checked |
| ssrn-4526219-p08 | Adding extrinsic evidence sequentially can reveal its marginal effect on an interpretation | Generative Interpretation | 495-497 | machine-drafted-source-checked |
| ssrn-4526219-p09 | The relevant institutional test is whether generative interpretation is good enough for ordinary, resource-constrained adjudication | Generative Interpretation | 499-503 | machine-drafted-source-checked |
| ssrn-4526219-p10 | Reliable legal use requires cross-checking outputs and governing prompts, models, and disclosure | Generative Interpretation | 503-505 | machine-drafted-source-checked |
| ssrn-4526219-p11 | Majoritarian training data, adversarial inputs, opacity, and linguistic drift define the domain in which LLM interpretation is safe and useful | Generative Interpretation | 505-509 | machine-drafted-source-checked |
| ssrn-4526219-p12 | Generative interpretation offers a contingent third path between textualism and contextualism while preserving party choice and judicial authority | Generative Interpretation | 510-514 | machine-drafted-source-checked |
| ssrn-4181890-p01 | Defamation law changes the credibility audiences assign to speech, not merely speakers’ incentives and targets’ compensation | Defamation with Bayesian Audiences | 1-2 | machine-drafted-source-checked |
| ssrn-4181890-p02 | A useful defamation model must combine Bayesian audiences, judicial error, and an upper bound on recoverable damages | Defamation with Bayesian Audiences | 2-3 | machine-drafted-source-checked |
| ssrn-4181890-p03 | Intermediate damages can support a separating equilibrium in which speakers truthfully distinguish good targets from bad targets | Defamation with Bayesian Audiences | 2 | machine-drafted-source-checked |
| ssrn-4181890-p04 | Defamation welfare often follows an inverse-U or Laffer curve because both cheap talk and overpriced talk destroy information | Defamation with Bayesian Audiences | 2 | machine-drafted-source-checked |
| ssrn-4181890-p05 | When damages cannot reach the separating range, lax law can outperform the strictest feasible law, especially when false accusations cause large losses | Defamation with Bayesian Audiences | 3-4 | machine-drafted-source-checked |
| ssrn-4181890-p06 | Judicial error supplies the reason very large damages become inefficient by inducing frivolous suits and chilling truthful negative speech | Defamation with Bayesian Audiences | 3-4 | machine-drafted-source-checked |
| ssrn-4181890-p07 | Treating audiences as naïve hides the possibility that more false speech can reduce the harm of each false statement by diluting credibility | Defamation with Bayesian Audiences | 3-4 | machine-drafted-source-checked |
| ssrn-4181890-p08 | The audience-belief framework extends beyond defamation to corporate disclosure, advertising, whistleblowing, and crime reports | Defamation with Bayesian Audiences | 4 | machine-drafted-source-checked |
| ssrn-4181890-p09 | Economic analysis of defamation should join cost-benefit and chilling-effect work with signaling and cheap-talk theory | Defamation with Bayesian Audiences | 4-6 | machine-drafted-source-checked |
| ssrn-4181890-p10 | The baseline game links a privately informed speaker’s statement to an audience’s interaction choice and a target’s litigation decision | Defamation with Bayesian Audiences | 6-7 | machine-drafted-source-checked |
| ssrn-4181890-p11 | The speaker’s private benefit from blocking interaction determines willingness to risk litigation and damages | Defamation with Bayesian Audiences | 6-7 | machine-drafted-source-checked |
| ssrn-4181890-p12 | Damages operate as a statement-specific policy lever that jointly affects suit incentives and speech incentives under imperfect adjudication | Defamation with Bayesian Audiences | 7-8 | machine-drafted-source-checked |
| ssrn-4181890-p13 | An equilibrium is informationally effective only when the audience sometimes avoids the target because of the speaker’s message | Defamation with Bayesian Audiences | 9 | machine-drafted-source-checked |
| ssrn-4181890-p14 | Every defamation regime admits an ineffective equilibrium in which audiences ignore speech and act on prior beliefs | Defamation with Bayesian Audiences | 9 | machine-drafted-source-checked |
| ssrn-4181890-p15 | Extremely low and extremely high damages support only ineffective communication, while moderate damages can support effective communication | Defamation with Bayesian Audiences | 9-10 | machine-drafted-source-checked |
| ssrn-4181890-p16 | In the lower-moderate range, raising damages selectively reduces false disparagement of good targets and the resulting litigation | Defamation with Bayesian Audiences | 10-12 | machine-drafted-source-checked |
| ssrn-4181890-p17 | Intermediate damages induce complete separation because good targets are never disparaged and bad targets are always disparaged without suing | Defamation with Bayesian Audiences | 12 | machine-drafted-source-checked |
| ssrn-4181890-p18 | In the upper-moderate range, frivolous suits by bad targets suppress truthful warnings and cause more harmful interactions | Defamation with Bayesian Audiences | 12-13 | machine-drafted-source-checked |
| ssrn-4181890-p19 | Welfare rises with lower-moderate damages, is maximized across the separating range, and falls with upper-moderate damages | Defamation with Bayesian Audiences | 14-16 | machine-drafted-source-checked |
| ssrn-4181890-p20 | Separating equilibria maximize expected welfare and are attainable only with intermediate damages under the baseline assumptions | Defamation with Bayesian Audiences | 16 | machine-drafted-source-checked |
| ssrn-4181890-p21 | Constitutional limits and defendants’ inability to pay can make the first-best separating damages unavailable | Defamation with Bayesian Audiences | 16-17 | machine-drafted-source-checked |
| ssrn-4181890-p22 | Under a binding cap, effective communication trades avoidance of bad interactions for mistaken avoidance of good interactions | Defamation with Bayesian Audiences | 17-18 | machine-drafted-source-checked |
| ssrn-4181890-p23 | Above a threshold level of harm to good targets, all feasible effective regimes are weakly worse than leaving the audience to its priors | Defamation with Bayesian Audiences | 17-18 | machine-drafted-source-checked |
| ssrn-4181890-p24 | Naïve and Bayesian models make opposite recommendations under binding caps and large defamation harms | Defamation with Bayesian Audiences | 18-20 | machine-drafted-source-checked |
| ssrn-4181890-p25 | Moderate damages can create private returns to investing in quality that disappear under extreme regimes | Defamation with Bayesian Audiences | 22-23 | machine-drafted-source-checked |
| ssrn-4181890-p26 | Adding truth speakers and speakers biased toward praise makes positive and negative messages imperfect mixtures rather than pure signals | Defamation with Bayesian Audiences | 23-24 | machine-drafted-source-checked |
| ssrn-4181890-p27 | With truth speakers present, lax law can preserve some information, whereas extremely strict law still makes all negative speech uninformative by eliminating it | Defamation with Bayesian Audiences | 24-25 | machine-drafted-source-checked |
| ssrn-4181890-p28 | Moderate damages remain optimal with heterogeneous speaker motives even though eulogists prevent complete type revelation | Defamation with Bayesian Audiences | 24-25 | machine-drafted-source-checked |
| ssrn-4181890-p29 | A committed public enforcer can sustain some informative speech with low damages because speakers face a lawsuit risk even when private targets would not sue | Defamation with Bayesian Audiences | 25-26 | machine-drafted-source-checked |
| ssrn-4181890-p30 | Public enforcement cannot achieve complete separation because the agency lacks the target’s private information and litigates probabilistically across types | Defamation with Bayesian Audiences | 26-27 | machine-drafted-source-checked |
| ssrn-4181890-p31 | Private enforcement can dominate public enforcement because informed targets self-select into suit and thereby help reveal case merit | Defamation with Bayesian Audiences | 27 | machine-drafted-source-checked |
| ssrn-4181890-p32 | Sufficiently inaccurate courts can eliminate the separating range and make very low damages optimal even without a formal cap | Defamation with Bayesian Audiences | 27-28 | machine-drafted-source-checked |
| ssrn-4181890-p33 | Defamatory harm requires credible speech, and credibility is partly produced by the consequences law attaches to false statements | Defamation with Bayesian Audiences | 28 | machine-drafted-source-checked |
| ssrn-4181890-p34 | When accurate adjudication and large feasible damages are unavailable, defamation regulation can cause more harm than benefit | Defamation with Bayesian Audiences | 28 | machine-drafted-source-checked |
| ssrn-4181890-p35 | The framework is a starting point for heterogeneous audiences, imperfectly informed speakers, and truth-motivated plaintiffs | Defamation with Bayesian Audiences | 28-29 | machine-drafted-source-checked |
| ssrn-4181890-p36 | The formal equilibrium conditions require audience optimality, target litigation optimality, speaker optimality, and Bayesian consistency of beliefs | Defamation with Bayesian Audiences | 29-31 | machine-drafted-source-checked |
| ssrn-4181890-p37 | The audience cannot rationally adopt an equilibrium rule that systematically inverts the meaning of disparaging and non-disparaging statements | Defamation with Bayesian Audiences | 31 | machine-drafted-source-checked |
| ssrn-4181890-p38 | At both damages extremes, Bayesian consistency forces audiences back to their prior regardless of any proposed message-responsive strategy | Defamation with Bayesian Audiences | 31 | machine-drafted-source-checked |
| ssrn-3740356-p01 | Language-model smart readers can change consumer contracting by simplifying, personalizing, constructing, and benchmarking boilerplate | Contracts in the Age of Smart Readers | 83-94 | machine-drafted-source-checked |
| ssrn-3740356-p02 | Smart readers can make dense contracts accessible through more than mere shortening, but simplification necessarily risks losing meaning | Contracts in the Age of Smart Readers | 95-99 | machine-drafted-source-checked |
| ssrn-3740356-p03 | Consumer-side personalization can adapt a uniform contract to a reader’s language, cognition, culture, and intersecting characteristics without requiring the firm to know each consumer | Contracts in the Age of Smart Readers | 99-104 | machine-drafted-source-checked |
| ssrn-3740356-p04 | Smart readers can sometimes explain the legal consequences of simple terms, although their construction cannot be authoritative and may implicate unauthorized-practice rules | Contracts in the Age of Smart Readers | 104-106 | machine-drafted-source-checked |
| ssrn-3740356-p05 | Benchmarking can reduce comparison costs by scoring contract terms against the market and directing consumers to better alternatives | Contracts in the Age of Smart Readers | 106-109 | machine-drafted-source-checked |
| ssrn-3740356-p06 | Observed adoption of smart readers can discriminate among competing explanations for why consumers do not read contracts | Contracts in the Age of Smart Readers | 109-114 | machine-drafted-source-checked |
| ssrn-3740356-p07 | Modest use of imperfect smart readers can improve individual matching and generate market-wide pressure for better contract terms | Contracts in the Age of Smart Readers | 114-118 | machine-drafted-source-checked |
| ssrn-3740356-p08 | The most serious smart-reader risks arise from correlated error and deliberate adversarial manipulation, not simply from isolated mistakes | Contracts in the Age of Smart Readers | 118-124 | machine-drafted-source-checked |
| ssrn-3740356-p09 | Low-cost smart readers can scale basic know-your-rights assistance where subsidized human legal services cannot | Contracts in the Age of Smart Readers | 124-126 | machine-drafted-source-checked |
| ssrn-3740356-p10 | Better contractual awareness can reduce accidental breach but can also induce harmful compliance with illegal or unenforceable terms | Contracts in the Age of Smart Readers | 126-127 | machine-drafted-source-checked |
| ssrn-3740356-p11 | Smart readers can expose discriminatory contract personalization while also enabling firms to discriminate between users and nonusers | Contracts in the Age of Smart Readers | 127-131 | machine-drafted-source-checked |
| ssrn-3740356-p12 | Smart readers create a new channel for countering cognitive overload, risk myopia, and price manipulation at the moment of contracting | Contracts in the Age of Smart Readers | 131-133 | machine-drafted-source-checked |
| ssrn-3740356-p13 | If smart readers materially solve nonreading, consumer-contract interventions cannot continue to rely on information failure without reexamining their justification | Contracts in the Age of Smart Readers | 133-136 | machine-drafted-source-checked |
| ssrn-3740356-p14 | Courts and agencies can use language models to structure corpus-based interpretation and prioritize suspicious contract terms | Contracts in the Age of Smart Readers | 136-137 | machine-drafted-source-checked |
| ssrn-3740356-p15 | Existing contract doctrines tend to place innocent smart-reader error on consumers, but a better regime would share incentives through machine-readable disclosure of key terms | Contracts in the Age of Smart Readers | 137-140 | machine-drafted-source-checked |
| ssrn-3740356-p16 | Courts should not expand the duty to read merely because smart readers appear cheap and accessible | Contracts in the Age of Smart Readers | 140-141 | machine-drafted-source-checked |
| ssrn-3740356-p17 | Because adversarial contract manipulation is hard to detect and prove, legal response will require imperfect combinations of burden shifting, deterrence, and regulatory monitoring | Contracts in the Age of Smart Readers | 141-143 | machine-drafted-source-checked |
| ssrn-3740356-p18 | Law should prepare for discrimination based on smart-reader use before data-driven personalization becomes entrenched | Contracts in the Age of Smart Readers | 143-145 | machine-drafted-source-checked |
| ssrn-3501175-p01 | Nudniks are active consumers who vindicate transactional expectations even when an ordinary cost-benefit calculation counsels passivity | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 931-939 | machine-drafted-source-checked |
| ssrn-3501175-p02 | Nudnik activity can arise from assertiveness, principle, spite, ideology, or other idiosyncratic preferences that overcome consumer rational apathy | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 936-939 | machine-drafted-source-checked |
| ssrn-3501175-p03 | Nudniks enforce expectations ex post and differ from both comparison shoppers and bounty-motivated private attorneys general | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 938-939 | machine-drafted-source-checked |
| ssrn-3501175-p04 | Nudniks can solve consumer collective-action problems by producing complaints and public signals whose benefits spill over to passive consumers | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 931-935 | machine-drafted-source-checked |
| ssrn-3501175-p05 | Prominent complaint campaigns reveal that nudniks are often repeat actors, publicly derided, and nevertheless capable of inducing apologies and policy changes | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 932-944 | machine-drafted-source-checked |
| ssrn-3501175-p06 | Public confrontation produces greater informational spillovers than silent exit or private redress, but most consumers stop before reaching that stage | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 944-945 | machine-drafted-source-checked |
| ssrn-3501175-p07 | Persistent complaints can provide free internal monitoring by carrying information about frontline failures to managers able to reform them | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 945-947 | machine-drafted-source-checked |
| ssrn-3501175-p08 | Small-claim litigation by nudniks creates legal deterrence, decisional law, and a public record that intermediaries can use to identify seller misconduct | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 947-948 | machine-drafted-source-checked |
| ssrn-3501175-p09 | Media tips and regulator complaints convert privately costly persistence into investigations, warnings, and public accountability | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 948-950 | machine-drafted-source-checked |
| ssrn-3501175-p10 | Detailed online reviews are a public good supplied by a very small share of consumers even though many prospective buyers rely on them | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 949-950 | machine-drafted-source-checked |
| ssrn-3501175-p11 | The informed-minority theory is empirically fragile because too few consumers read increasingly long and complex standard terms to induce market-wide competition | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 950-952 | machine-drafted-source-checked |
| ssrn-3501175-p12 | Reputational discipline depends on underproduced information and therefore cannot be assumed to arise automatically from firms’ desire for a good name | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 952-953 | machine-drafted-source-checked |
| ssrn-3501175-p13 | Nudnik discipline can operate without a critical mass because one credible complaint can trigger legal or reputational sanctions | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 953-954 | machine-drafted-source-checked |
| ssrn-3501175-p14 | Digital media can strengthen nudnik activism because persistent complainers remain active as costs rise and their signals become durable and widely searchable | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 954 | machine-drafted-source-checked |
| ssrn-3501175-p15 | Nudnik complaints reduce other consumers’ information costs and can force sellers to honor supracontractual expectations as well as written terms | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 954-956 | machine-drafted-source-checked |
| ssrn-3501175-p16 | Nudniks should be evaluated by the social output of their complaints rather than by whether their motives appear petty, selfish, or vengeful | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 957-959 | machine-drafted-source-checked |
| ssrn-3501175-p17 | The net value and distributional effects of nudnik activism require cross-sectional empirical research rather than a universal positive characterization | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 957-959 | machine-drafted-source-checked |
| ssrn-3501175-p18 | Big data reverses the conventional market picture by allowing sellers to choose buyers and evaluate consumers’ reputations for complaining | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 959-961 | machine-drafted-source-checked |
| ssrn-3501175-p19 | Evidence of nudnik targeting is necessarily suggestive because firms conceal proprietary scoring practices, but the documented capabilities identify a plausible and growing trajectory | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 961-962 | machine-drafted-source-checked |
| ssrn-3501175-p20 | CRM systems and data brokers let sellers aggregate complaint, return, and interaction histories across firms to identify serial complainers early | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 962-963 | machine-drafted-source-checked |
| ssrn-3501175-p21 | Predictive scores can estimate both a consumer’s likelihood of complaining and the expected reach of the complaint | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 963-965 | machine-drafted-source-checked |
| ssrn-3501175-p22 | Sellers can selectively appease likely complainers with remedies tailored to whether they seek money, replacement, validation, or apology | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 965-966 | machine-drafted-source-checked |
| ssrn-3501175-p23 | Reputation management can muffle a complaint by flooding search and review channels with positive or irrelevant content | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 966-967 | machine-drafted-source-checked |
| ssrn-3501175-p24 | Personalization lets sellers avoid likely complainers or impose individualized gagging tactics without the salience and backlash of a universal restrictive term | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 967-968 | machine-drafted-source-checked |
| ssrn-3501175-p25 | The earlier a seller identifies and disarms a nudnik, the more completely it prevents legal and reputational spillovers | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 968-974 | machine-drafted-source-checked |
| ssrn-3501175-p26 | Even confidential settlement can deter when an informed first plaintiff extracts part of the defendant’s exposure to all victims | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 969-970 | machine-drafted-source-checked |
| ssrn-3501175-p27 | Preclaim targeting deprives a nudnik of discovery and knowledge about other victims, reducing settlement leverage and the deterrent sanction | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 970-971 | machine-drafted-source-checked |
| ssrn-3501175-p28 | Litigation disciplines reputation by revealing, diffusing, certifying, and attributing information, so preventing claims also weakens media and market scrutiny | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 971-973 | machine-drafted-source-checked |
| ssrn-3501175-p29 | Personalized treatment creates third-party harms by breaking the pooling assumption on which both informed-minority and reputational discipline depend | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 973-974 | machine-drafted-source-checked |
| ssrn-3501175-p30 | Reputation can justify legal intervention when law is needed to preserve the production of reputational information | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 974-976 | machine-drafted-source-checked |
| ssrn-3501175-p31 | Antidiscrimination and transparency remedies do not fit nudnik targeting because complainers are not a protected class and preferential treatment gives them little reason to object | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 976-977 | machine-drafted-source-checked |
| ssrn-3501175-p32 | Regulators can use unfairness and deception authority, informed by the Consumer Review Fairness Act, to protect complaint information from targeted suppression | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 977-980 | machine-drafted-source-checked |
| ssrn-3501175-p33 | The Consumer Review Fairness Act’s form-contract limitation creates a loophole for individualized gag clauses, while regulators can compensate through public complaint data and stronger complaint investigation | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 979-980 | machine-drafted-source-checked |
| ssrn-3501175-p34 | Courts should account for the information externalities of seemingly technical or small consumer injuries when applying standing doctrine | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 981-982 | machine-drafted-source-checked |
| ssrn-3501175-p35 | De minimis analysis should consider whether a tiny individual loss reflects a repeated practice imposing large aggregate harm | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 982-984 | machine-drafted-source-checked |
| ssrn-3501175-p36 | Consumer reviews should receive stronger defamation protection because a few identifiable reviewers supply information audiences can discount but cannot evaluate if liability prevents publication | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 984 | machine-drafted-source-checked |
| ssrn-3501175-p37 | Personalized contracts can be worse than form contracts when algorithmic tailoring targets willingness to complain rather than reflecting meaningful negotiation | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 984-985 | machine-drafted-source-checked |
| ssrn-3501175-p38 | Policy should optimize rather than maximize nudnik activity, but sellers should not be allowed to suppress the category wholesale before neutral institutions can distinguish valuable from wasteful complaints | Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It | 985-987 | machine-drafted-source-checked |
| ssrn-3681083-p01 | The granularity of legal rights and duties is a design variable that can change behavior and policy outcomes | Slicing Defamation by Contract | 1 | machine-drafted-source-checked |
| ssrn-3681083-p02 | Defamation tort liability is comparatively lumpy, while contract offers a scalpel for creating tailored, voluntary exposure | Slicing Defamation by Contract | 1-2 | machine-drafted-source-checked |
| ssrn-3681083-p03 | Mel Mermelstein’s enforcement of a Holocaust-denial reward shows that private liability can puncture false credibility when defamation law offers no group remedy | Slicing Defamation by Contract | 2 | machine-drafted-source-checked |
| ssrn-3681083-p04 | Liability can lend credibility to speech because a speaker signals confidence by accepting verification and consequences for falsity | Slicing Defamation by Contract | 2 | machine-drafted-source-checked |
| ssrn-3681083-p05 | Defamation law protects through deterrence, compensation, and public vindication, while constitutional doctrine balances those benefits against speech and press freedom | Slicing Defamation by Contract | 2-3 | machine-drafted-source-checked |
| ssrn-3681083-p06 | Across-the-board expansion of defamation liability would chill press freedom and may worsen the information environment | Slicing Defamation by Contract | 3 | machine-drafted-source-checked |
| ssrn-3681083-p07 | A truth bounty is a voluntary contractual reward payable to any member of the public who substantially falsifies a designated story under specified procedures | Slicing Defamation by Contract | 3-4 | machine-drafted-source-checked |
| ssrn-3681083-p08 | A concise notation such as “T.B. $50,000” can incorporate a standardized truth-bounty procedure the way trade abbreviations invoke complex legal terms | Slicing Defamation by Contract | 4 | machine-drafted-source-checked |
| ssrn-3681083-p09 | Truth bounties function as warranties of truth that let outlets buy credibility and readership by staking money on reporting quality | Slicing Defamation by Contract | 4 | machine-drafted-source-checked |
| ssrn-3681083-p10 | A low or absent bounty becomes informative in a mature bounty market because deviation signals weak confidence and reduces reputational harm | Slicing Defamation by Contract | 4-5 | machine-drafted-source-checked |
| ssrn-3681083-p11 | Voluntary truth bounties are plausible because media outlets already assume legal risk and value credibility enough to suppress stories | Slicing Defamation by Contract | 5 | machine-drafted-source-checked |
| ssrn-3681083-p12 | A story-specific bounty replaces uncertain, potentially massive marginal exposure with a bespoke and known amount | Slicing Defamation by Contract | 5 | machine-drafted-source-checked |
| ssrn-3681083-p13 | Bounty size can communicate a publisher’s private information about source quality and editorial rigor more precisely than the binary decision to publish | Slicing Defamation by Contract | 5 | machine-drafted-source-checked |
| ssrn-3681083-p14 | Opening the bounty to anyone crowdsources falsification by rewarding people with private exonerating evidence | Slicing Defamation by Contract | 5-6 | machine-drafted-source-checked |
| ssrn-3681083-p15 | Truth bounties protect targets through public vindication, production of exonerating evidence, and ex ante deterrence, but do not directly replace compensatory damages | Slicing Defamation by Contract | 6 | machine-drafted-source-checked |
| ssrn-3681083-p16 | Granular bounties preserve intermediate publication choices that expanded, all-or-nothing tort liability would suppress | Slicing Defamation by Contract | 6 | machine-drafted-source-checked |
| ssrn-3681083-p17 | For marginal stories that are published, a low bounty may harm the target less than expanded tort exposure because audiences assign the story less credibility | Slicing Defamation by Contract | 6-7 | machine-drafted-source-checked |
| ssrn-3681083-p18 | Voluntary truth bounties can add accountability with less chilling of press freedom than mandatory expansion of defamation law | Slicing Defamation by Contract | 7 | machine-drafted-source-checked |
| ssrn-3681083-p19 | Expanded lumpy defamation exposure would impose disproportionate anticompetitive burdens on small outlets and investigative reporting | Slicing Defamation by Contract | 7 | machine-drafted-source-checked |
| ssrn-3681083-p20 | A mature bounty practice could produce a separating equilibrium between high-quality reporting and infotainment | Slicing Defamation by Contract | 7 | machine-drafted-source-checked |
| ssrn-3681083-p21 | Escrow, bonds, or insurance can make a truth bounty credible even when the publisher has shallow pockets | Slicing Defamation by Contract | 7 | machine-drafted-source-checked |
| ssrn-3681083-p22 | Truth bounties face a consideration objection because a successful falsifier may neither purchase the publication nor confer a conventional benefit on the offeror | Slicing Defamation by Contract | 7-8 | machine-drafted-source-checked |
| ssrn-3681083-p23 | Bargain theory should enforce objectively serious promises meant to induce falsification activity even if the activity does not conventionally benefit the promisor | Slicing Defamation by Contract | 8 | machine-drafted-source-checked |
| ssrn-3681083-p24 | Kolodziej v. Mason shows that courts may dismiss detailed public rewards as indefinite hyperbole even after a claimant performs | Slicing Defamation by Contract | 8-9 | machine-drafted-source-checked |
| ssrn-3681083-p25 | Prove-me-wrong wagers can violate social norms and make speakers appear crass or unserious even when legally useful | Slicing Defamation by Contract | 9 | machine-drafted-source-checked |
| ssrn-3681083-p26 | A legislated or restated turnkey code can make bounty intent, incorporated procedures, and enforcement cheap and reliable | Slicing Defamation by Contract | 9-10 | machine-drafted-source-checked |
| ssrn-3681083-p27 | Major outlets can overcome first-mover and audience-education problems by adopting a common bounty norm and triggering a credibility cascade | Slicing Defamation by Contract | 10 | machine-drafted-source-checked |
| ssrn-3681083-p28 | Slicing liability matters because audiences infer truth from legal consequences, making the relationship between liability and reputational protection nonlinear | Slicing Defamation by Contract | 10-11 | machine-drafted-source-checked |
| ssrn-3239995-p01 | Consumer-sourced reputation cannot safely substitute for regulation because the process that creates reviews is systematically distorted | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1240-1245 | machine-drafted-source-checked |
| ssrn-3239995-p02 | Reputation is a public good whose creators bear private costs while later consumers capture most of the benefit | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1242-1243 | machine-drafted-source-checked |
| ssrn-3239995-p03 | Reputation failure consists of sluggish production, regression toward extreme experiences, and compromised information integrity | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1243-1244 | machine-drafted-source-checked |
| ssrn-3239995-p04 | Large review datasets display extreme-heavy patterns that disagree with professional, cross-platform, and laboratory evaluations | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1244-1245 | machine-drafted-source-checked |
| ssrn-3239995-p05 | Law can correct the causes of reputation failure by improving the production and flow of reliable market information | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1245-1246 | machine-drafted-source-checked |
| ssrn-3239995-p06 | Experience goods invite seller opportunism, and conventional consumer law responds through multiple forms of ex ante and ex post regulation | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1246-1248 | machine-drafted-source-checked |
| ssrn-3239995-p07 | Reputation can align self-interest with honest performance by making present cheating costly through lost future transactions | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1248-1249 | machine-drafted-source-checked |
| ssrn-3239995-p08 | Digital platforms have transformed small-community gossip into mass reputation and drawn both conservative and progressive thinkers toward deregulation | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1248-1250 | machine-drafted-source-checked |
| ssrn-3239995-p09 | Opposing consumer-contract theories share an insufficiently tested premise that reputation reliably disciplines standardized markets | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1250-1251 | machine-drafted-source-checked |
| ssrn-3239995-p10 | Legal and economic thought often assumes that reputation emerges frictionlessly, immediately, and accurately without explaining who produces the information | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1251-1254 | machine-drafted-source-checked |
| ssrn-3239995-p11 | Existing acknowledgments of noise, cost, intermediary incentives, short seller horizons, or low volume do not establish the article's stronger claim of inherent systematic distortion | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1253-1254 | machine-drafted-source-checked |
| ssrn-3239995-p12 | Consumer reputation is a statistical poll of past experiences produced through deliberate contribution rather than an inherent attribute of the product | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1254-1256 | machine-drafted-source-checked |
| ssrn-3239995-p13 | Creating reputational information entails time, emotional, and legal costs that require countervailing private motivation | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1256 | machine-drafted-source-checked |
| ssrn-3239995-p14 | Positive and negative word of mouth arise from distinct motivations including altruism, self-enhancement, gratitude, anxiety reduction, and vengeance | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1256-1258 | machine-drafted-source-checked |
| ssrn-3239995-p15 | The extremity of an experience, not simply whether it is positive or negative, often determines whether a consumer reports it | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1257-1258 | machine-drafted-source-checked |
| ssrn-3239995-p16 | Social norms that ordinarily sustain cooperation can suppress candid reputation through forgiveness, politeness, reciprocity, and fear of retaliation | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1258-1260 | machine-drafted-source-checked |
| ssrn-3239995-p17 | Reviewers may distort opinions to project acceptable identities or follow prevailing ratings, while attention seekers may strategically antiherd | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1259-1261 | machine-drafted-source-checked |
| ssrn-3239995-p18 | Payments, reimbursements, and sanctions let firms manufacture favorable reputation or suppress negative reviews | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1261-1262 | machine-drafted-source-checked |
| ssrn-3239995-p19 | Firms distort reputation by selectively rewarding consumers and influencers most likely to broadcast unusually favorable experiences | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1262 | machine-drafted-source-checked |
| ssrn-3239995-p20 | Weak private incentives cause consumer reputation to accumulate too slowly for outliers and distributions to be assessed reliably | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1263-1265 | machine-drafted-source-checked |
| ssrn-3239995-p21 | The success of mandatory restaurant hygiene grades suggests that informal reputation failed to transmit even salient, locally useful safety information | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1264-1265 | machine-drafted-source-checked |
| ssrn-3239995-p22 | Nonrandom motivation causes reputational data to emphasize outliers over time rather than regress toward the underlying mean | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1265-1266 | machine-drafted-source-checked |
| ssrn-3239995-p23 | Online consumer ratings are characteristically J-shaped, with abundant praise and extreme criticism but few middle reviews | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1266-1267 | machine-drafted-source-checked |
| ssrn-3239995-p24 | Market selection cannot fully explain extreme-heavy consumer reviews because identical products disagree across platforms and professional ratings follow different distributions | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1268-1269 | machine-drafted-source-checked |
| ssrn-3239995-p25 | When ordinary participants are prompted to rate a product in an experiment, their ratings are bell-shaped while voluntary Amazon reviews of that product remain J-shaped | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1268-1269 | machine-drafted-source-checked |
| ssrn-3239995-p26 | Audience disposition and social context can change how people describe the same ambiguous experience, compromising review integrity | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1269-1270 | machine-drafted-source-checked |
| ssrn-3239995-p27 | The microfoundations predict constrained volume, extreme selection, and compromised truthfulness across consumer reputation systems | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1270 | machine-drafted-source-checked |
| ssrn-3239995-p28 | Consumers need the distribution and variability of past experiences, not merely an average star rating, to make risk-sensitive choices | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1270-1271 | machine-drafted-source-checked |
| ssrn-3239995-p29 | Reputational sluggishness lets chance outliers distort both estimated average quality and estimated variability | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1271-1273 | machine-drafted-source-checked |
| ssrn-3239995-p30 | Suppressing middling experiences creates a middle-censored sample from which ordinary estimates of product quality can be badly wrong | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1273-1275 | machine-drafted-source-checked |
| ssrn-3239995-p31 | Herding makes reputation path-dependent, while sluggishness and extreme selection jointly separate observed means and distributions from actual experience | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1275 | machine-drafted-source-checked |
| ssrn-3239995-p32 | Consumers express strong confidence in reviews, and small rating changes measurably affect sales and revenue | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1275-1276 | machine-drafted-source-checked |
| ssrn-3239995-p33 | Anchoring, ineffective discounting of conflicts, and low statistical literacy make it difficult for consumers to correct biased reputation even when warned | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1276-1277 | machine-drafted-source-checked |
| ssrn-3239995-p34 | Existing law often prohibits misleading information because awareness and third-party assistance do not reliably enable people to correct it | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1277 | machine-drafted-source-checked |
| ssrn-3239995-p35 | Even a sophisticated consumer who knows middle ratings are censored cannot identify a product's true mean from the visible extremes | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1277-1280 | machine-drafted-source-checked |
| ssrn-3239995-p36 | Comparing products by their observed means also fails under nonrandom truncation, so the article tests the magnitude of error through repeated simulation | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1280-1281 | machine-drafted-source-checked |
| ssrn-3239995-p37 | Middle-censored reviews frequently reverse product rankings when true quality differences are small | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1282-1283 | machine-drafted-source-checked |
| ssrn-3239995-p38 | Unequal and low review volume can produce substantial ranking errors even when products differ meaningfully in average quality | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1282-1283 | machine-drafted-source-checked |
| ssrn-3239995-p39 | Middle-censored ratings can cause risk-averse consumers to prefer a much more variable product even when average quality is equal | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1283-1284 | machine-drafted-source-checked |
| ssrn-3239995-p40 | Reputation failure is most serious for close products, small or unequal samples, and differing variability, but becomes less consequential in several high-signal settings | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1284 | machine-drafted-source-checked |
| ssrn-3239995-p41 | Reading review text cannot generally cure rating distortion because qualitative analysis does not scale and any trusted heuristic invites strategic exploitation | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1284-1286 | machine-drafted-source-checked |
| ssrn-3239995-p42 | Acute reputation failure can produce persistent consumer mistakes, weaken incentives for quality, and generate a lemons market that justifies continued substantive regulation | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1286-1287 | machine-drafted-source-checked |
| ssrn-3239995-p43 | Reputation-by-Regulation uses law to design reliable information flows, offering a complementarity model between command regulation and unregulated markets | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1287-1288 | machine-drafted-source-checked |
| ssrn-3239995-p44 | Reputation platforms can profit from a reputation for honest curation and should be enlisted as first-line metaregulators | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1288-1290 | machine-drafted-source-checked |
| ssrn-3239995-p45 | Platforms cannot reliably police reputation when contractual powers are weak and transaction profits conflict with impartial curation | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1290-1292 | machine-drafted-source-checked |
| ssrn-3239995-p46 | Unified rules should restrain platform self-promotion and arbitrary censorship while requiring transparent review standards and useful denominator data | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1292-1293 | machine-drafted-source-checked |
| ssrn-3239995-p47 | External agencies should audit platform review data, search ordering, reviewer histories, and fake-review algorithms because necessary opacity prevents public verification | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1293 | machine-drafted-source-checked |
| ssrn-3239995-p48 | Voluntary government accreditation can let honest platforms credibly signal compliance without direct control of their speech | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1293-1294 | machine-drafted-source-checked |
| ssrn-3239995-p49 | Professional review organizations can supply tested, commoditized reputation but cannot match peer reviews' breadth and face their own bribery risk | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1294-1295 | machine-drafted-source-checked |
| ssrn-3239995-p50 | Competitor suits provide only partial discipline for fake reviews, while public agencies can investigate and impose sanctions sufficient to reduce their profitability | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1295-1297 | machine-drafted-source-checked |
| ssrn-3239995-p51 | Well-tailored regulation of fraudulent reviews and favorable-review incentives is compatible with limited First Amendment protection for misleading commercial speech | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1296-1297 | machine-drafted-source-checked |
| ssrn-3239995-p52 | Regulators should distinguish biased endorsements from content-neutral rewards that increase review supply without conditioning benefits on praise | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1297-1299 | machine-drafted-source-checked |
| ssrn-3239995-p53 | Business lawsuits suppress negative consumer reviews through defense costs, disruption, and de-anonymization even when the reviewer ultimately wins | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1299-1301 | machine-drafted-source-checked |
| ssrn-3239995-p54 | Consumer reviews should receive an actual-malice privilege analogous to protections for public-interest speech | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1301-1303 | machine-drafted-source-checked |
| ssrn-3239995-p55 | Objections that a review privilege encourages lies overlook both weak incentives to speak truthfully and audiences' reduced trust when defamation law is lax | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1303 | machine-drafted-source-checked |
| ssrn-3239995-p56 | Correcting reputation failure should anchor consumer policy because better information can preserve market autonomy without abandoning legal protection | Reputation Failure: The Limits of Market Discipline in Consumer Markets | 1303-1304 | machine-drafted-source-checked |
| ssrn-3452662-p01 | Information regulation changes not only speakers’ incentives but also how Bayesian audiences interpret and act on the statements that remain | Regulating Information With Bayesian Audiences | 1-3 | machine-drafted-source-checked |
| ssrn-3452662-p02 | A three-party Bayesian game captures how a privately informed speaker influences an audience’s decision about a target under threat of litigation | Regulating Information With Bayesian Audiences | 5-10 | machine-drafted-source-checked |
| ssrn-3452662-p03 | The same structural information problem recurs when interested speakers influence audiences and law sanctions false negative information | Regulating Information With Bayesian Audiences | 2-5 | machine-drafted-source-checked |
| ssrn-3452662-p04 | The level of expected damages is a useful policy lever because it jointly shapes the target’s incentive to sue and the speaker’s incentive to disparage | Regulating Information With Bayesian Audiences | 7-8 | machine-drafted-source-checked |
| ssrn-3452662-p05 | Stricter law can make surviving disparagement more credible and therefore more damaging, so even a good target may prefer a laxer regime | Regulating Information With Bayesian Audiences | 2 | machine-drafted-source-checked |
| ssrn-3452662-p06 | Both lax cheap talk and strict overpriced talk can deprive audiences of useful information | Regulating Information With Bayesian Audiences | 2-3 | machine-drafted-source-checked |
| ssrn-3452662-p07 | Judicial accuracy determines whether moderate damages can deter lies without inviting frivolous suits and thereby support a separating equilibrium | Regulating Information With Bayesian Audiences | 13-14 | machine-drafted-source-checked |
| ssrn-3452662-p08 | When courts are inaccurate, optimal damages trade off missed good interactions, harmful bad interactions, and litigation costs rather than monotonically favoring more deterrence | Regulating Information With Bayesian Audiences | 15-18 | machine-drafted-source-checked |
| ssrn-3452662-p09 | Moderate information regulation can increase investment in quality by widening the payoff gap between good and bad targets | Regulating Information With Bayesian Audiences | 18-19 | machine-drafted-source-checked |
| ssrn-3452662-p10 | Private enforcement can outperform a committed public enforcer because the target knows its own type and can condition litigation on the merits | Regulating Information With Bayesian Audiences | 21-23 | machine-drafted-source-checked |
| ssrn-3452662-p11 | Defamation’s effect on reputation cannot be evaluated without the audience because disparagement causes harm only when listeners believe and act on it | Regulating Information With Bayesian Audiences | 4 | machine-drafted-source-checked |
| ssrn-3452662-p12 | Whistleblower rewards affect an enforcement agency’s belief in a report, not merely the reporter’s willingness to submit it | Regulating Information With Bayesian Audiences | 4-5 | machine-drafted-source-checked |
| ssrn-3452662-p13 | Sanctions for false crime reports affect how police allocate scarce attention by changing the perceived credibility of incoming reports | Regulating Information With Bayesian Audiences | 4-5 | machine-drafted-source-checked |
| ssrn-3452662-p14 | Securities enforcement operates as a credibility mechanism because investors interpret corporate disclosures in light of the legal regime governing them | Regulating Information With Bayesian Audiences | 5 | machine-drafted-source-checked |
| ssrn-3452662-p15 | The relevant distinction is whether communication changes audience behavior, not merely whether speaker strategies carry statistical information | Regulating Information With Bayesian Audiences | 10-11 | machine-drafted-source-checked |
| ssrn-3452662-p16 | Every damages regime admits an ineffective equilibrium in which audiences follow priors and litigation never occurs | Regulating Information With Bayesian Audiences | 11-12 | machine-drafted-source-checked |
| ssrn-3452662-p17 | Very low damages fail to motivate meritorious suits, while very high damages deter all behaviorally effective disparagement | Regulating Information With Bayesian Audiences | 12-13 | machine-drafted-source-checked |
| ssrn-3452662-p18 | Only moderate damages can support an equilibrium in which the audience acts consistently with the speaker’s statement | Regulating Information With Bayesian Audiences | 13 | machine-drafted-source-checked |
| ssrn-3452662-p19 | A sufficiently accurate court permits damages that induce truthful disparagement of bad targets and silence toward good targets without actual litigation | Regulating Information With Bayesian Audiences | 13-14 | machine-drafted-source-checked |
| ssrn-3452662-p20 | The separating equilibrium maximizes expected welfare because it permits every beneficial interaction, blocks every harmful interaction, and consumes no litigation resources | Regulating Information With Bayesian Audiences | 13-14 | machine-drafted-source-checked |
| ssrn-3452662-p21 | Even a slightly inaccurate court may support a welfare-improving semi-separating equilibrium under moderate damages | Regulating Information With Bayesian Audiences | 13-14 | machine-drafted-source-checked |
| ssrn-3452662-p22 | In the lower-moderate range, raising damages improves welfare by reducing false disparagement of good targets without provoking suits by bad targets | Regulating Information With Bayesian Audiences | 15-16 | machine-drafted-source-checked |
| ssrn-3452662-p23 | In the intermediate-moderate range, higher damages simultaneously increase beneficial and harmful interactions while reducing litigation, so welfare is ambiguous | Regulating Information With Bayesian Audiences | 15-17 | machine-drafted-source-checked |
| ssrn-3452662-p24 | In the higher-moderate range, increasing damages suppresses truthful warnings about bad targets while saving litigation and is undesirable when avoided harmful interactions matter more than suit cost | Regulating Information With Bayesian Audiences | 16-17 | machine-drafted-source-checked |
| ssrn-3452662-p25 | There is no general reason for higher damages to outperform lower damages when courts are inaccurate, and stronger law may sacrifice some good targets | Regulating Information With Bayesian Audiences | 17 | machine-drafted-source-checked |
| ssrn-3452662-p26 | Moderate damages can outperform ineffective communication whenever the audience’s gains and losses from correct interaction decisions dominate other payoffs | Regulating Information With Bayesian Audiences | 17-18 | machine-drafted-source-checked |
| ssrn-3452662-p27 | Extreme laws provide no private return to investing in quality when audiences ignore speech, whereas moderate laws can make quality investment privately valuable | Regulating Information With Bayesian Audiences | 18-19 | machine-drafted-source-checked |
| ssrn-3452662-p28 | Adding honest speakers and speakers biased toward praise preserves the superiority of moderate damages and can make strict law informationally worse than lax law | Regulating Information With Bayesian Audiences | 19-21 | machine-drafted-source-checked |
| ssrn-3452662-p29 | A public enforcer’s ex ante commitment can sustain some informative speech even with low damages, but cannot produce full separation | Regulating Information With Bayesian Audiences | 21-23 | machine-drafted-source-checked |
| ssrn-3452662-p30 | Delegating suit decisions to privately informed targets enables separation, although real comparisons must also consider investigation costs, evidence, discretion, and capture | Regulating Information With Bayesian Audiences | 23 | machine-drafted-source-checked |
| ssrn-3452662-p31 | Audience effects offer informational rationales for treating opinion as nonactionable and especially harmful per se allegations more strictly | Regulating Information With Bayesian Audiences | 23-24 | machine-drafted-source-checked |
| ssrn-3452662-p32 | Moderate rules for false crime reports and whistleblowing can preserve credible reporting while avoiding both frivolous allegations and the chilling of costly truthful reports | Regulating Information With Bayesian Audiences | 24-25 | machine-drafted-source-checked |
| ssrn-3452662-p33 | Moderate penalties for frivolous claims may improve jury accuracy and deterrence, whereas excessive penalties can chill legitimate accusations and weaken both | Regulating Information With Bayesian Audiences | 25-26 | machine-drafted-source-checked |
| ssrn-3452662-p34 | Securities enforcement should be calibrated for investor belief formation because both lax and strict regimes can make corporate disclosure less informative | Regulating Information With Bayesian Audiences | 26 | machine-drafted-source-checked |
| ssrn-3547007-p01 | Paying wages in arrears makes workers involuntary short-term lenders to their employers | Payday | 3-4 | machine-drafted-source-checked |
| ssrn-3547007-p02 | Delayed wages intensify household liquidity shortages and can push workers toward extremely costly short-term credit | Payday | 3-4 | machine-drafted-source-checked |
| ssrn-3547007-p03 | The payday loan from employees to employers is artificial and presumptively inefficient because capital flows from liquidity-poor households to better-financed firms | Payday | 4-5 | machine-drafted-source-checked |
| ssrn-3547007-p04 | The persistence of payday is a legal-software problem rather than a payment-hardware problem | Payday | 4-7 | machine-drafted-source-checked |
| ssrn-3547007-p05 | A daily stream of roughly ninety-three percent of estimated wages, followed by a biweekly accounting day, can separate liquidity from compliance verification | Payday | 5-7 | machine-drafted-source-checked |
| ssrn-3547007-p06 | Protective labor and tax legislation may have unintentionally reduced pay frequency by increasing the administrative burden of payroll | Payday | 6-7 | machine-drafted-source-checked |
| ssrn-3547007-p07 | Payday should not be treated as a neutral or natural fact because it affects efficiency, distribution, autonomy, and resilience to financial shocks | Payday | 7-8 | machine-drafted-source-checked |
| ssrn-3547007-p08 | Employment contains both an exchange contract for labor and compensation, K1, and a distinct financing contract that defers earned wages, K2 | Payday | 8-11 | machine-drafted-source-checked |
| ssrn-3547007-p09 | Most American private-sector employees are paid only twice a month, placing nearly all wages in arrears | Payday | 9-10 | machine-drafted-source-checked |
| ssrn-3547007-p10 | Deferred wages remain credit even when the contract states no interest rate or embeds compensation in the overall wage | Payday | 10-11 | machine-drafted-source-checked |
| ssrn-3547007-p11 | K2 contradicts the basic financial logic that loans should move funds from relatively liquid, capable lenders to borrowers with more valuable uses | Payday | 11-12 | machine-drafted-source-checked |
| ssrn-3547007-p12 | The employer’s financing gain from delayed wages is generally modest while liquidity-poor workers face much higher borrowing and welfare costs | Payday | 12-14 | machine-drafted-source-checked |
| ssrn-3547007-p13 | Society should finance businesses through institutions that can price and monitor risk, not through employees’ unpaid wages | Payday | 14-15 | machine-drafted-source-checked |
| ssrn-3547007-p14 | Payday can generate a recurring borrowing cycle rather than a one-time bridge at the start of employment | Payday | 15 | machine-drafted-source-checked |
| ssrn-3547007-p15 | A causal explanation for payday’s persistence is not necessarily a normative justification for keeping it | Payday | 15-16 | machine-drafted-source-checked |
| ssrn-3547007-p16 | Long pay periods emerged under historical constraints of unstable money, manual payroll, physical distribution, and piece-rate labor | Payday | 16-18 | machine-drafted-source-checked |
| ssrn-3547007-p17 | Nineteenth-century worker movements successfully established weekly-pay laws despite freedom-of-contract resistance, and early experience suggested the system was practical | Payday | 18-19 | machine-drafted-source-checked |
| ssrn-3547007-p18 | The twentieth-century retreat from weekly to biweekly pay may reflect administrative costs created by New Deal and wartime payroll obligations | Payday | 19-20 | machine-drafted-source-checked |
| ssrn-3547007-p19 | Path dependence plausibly explains payday but weakly justifies it once the original technological constraints disappear | Payday | 20 | machine-drafted-source-checked |
| ssrn-3547007-p20 | Synchronizing periodic wages and monthly bills creates two offsetting but costly credit transactions rather than genuine financial harmony | Payday | 20-22 | machine-drafted-source-checked |
| ssrn-3547007-p21 | Employer bargaining power can explain some delayed wages but cannot explain their prevalence across competitive markets and higher-paid work | Payday | 22-23 | machine-drafted-source-checked |
| ssrn-3547007-p22 | Even a dominant profit-maximizing employer may prefer frequent pay when its cost is lower than the wage reduction workers would accept for improved liquidity | Payday | 23-24 | machine-drafted-source-checked |
| ssrn-3547007-p23 | Minimum-wage law may let employers reduce effective compensation by lengthening pay periods while preserving nominal statutory compliance | Payday | 24-25 | machine-drafted-source-checked |
| ssrn-3547007-p24 | Worker financial sophistication may partly explain payday but is implausible as a general defense of the practice | Payday | 25-26 | machine-drafted-source-checked |
| ssrn-3547007-p25 | Employers may value accrued wages as collateral against employee departure, but public policy rejects forfeiture of earned pay as a retention device | Payday | 26-27 | machine-drafted-source-checked |
| ssrn-3547007-p26 | Collateral concerns justify not paying workers before they earn wages, but they do not justify delaying payment after wages are earned | Payday | 27-28 | machine-drafted-source-checked |
| ssrn-3547007-p27 | The behavioral defense of payday treats delayed wages as paternalistic commitment devices that protect present-biased workers from overspending | Payday | 28-29 | machine-drafted-source-checked |
| ssrn-3547007-p28 | Large, infrequent paychecks may worsen overspending by creating a windfall or illusion of plenty | Payday | 29-30 | machine-drafted-source-checked |
| ssrn-3547007-p29 | The behavioral justification is weakened by lawful wage advances and evidence that pay frequency does not change aggregate saving or spending | Payday | 30-31 | machine-drafted-source-checked |
| ssrn-3547007-p30 | Employers are unsafe and conflicted savings agents because they can steal, suspend, leverage, invest, or lose workers’ unpaid wages | Payday | 31-33 | machine-drafted-source-checked |
| ssrn-3547007-p31 | Legislation directly imposes long pay periods throughout public employment and may establish a norm copied by private employers | Payday | 33-34 | machine-drafted-source-checked |
| ssrn-3547007-p32 | Averaging minimum-wage compliance across the pay period rewards longer schedules for tipped and commissioned workers | Payday | 34-35 | machine-drafted-source-checked |
| ssrn-3547007-p33 | The FLSA salary-basis test may penalize daily payment by linking overtime exemption to receipt of salary weekly or less frequently | Payday | 35-37 | machine-drafted-source-checked |
| ssrn-3547007-p34 | Payroll cost has four stages: determining wages, verifying deductions and legal compliance, transferring funds, and enabling workers to receive them | Payday | 37 | machine-drafted-source-checked |
| ssrn-3547007-p35 | Modern software makes wage calculation inexpensive, but high sanctions make human compliance verification a real cost that does not scale to daily final payroll | Payday | 37-39 | machine-drafted-source-checked |
| ssrn-3547007-p36 | Digital transfer is affordable for banked workers, but checks and cash make frequent pay costly for millions of unbanked and underbanked households | Payday | 39-41 | machine-drafted-source-checked |
| ssrn-3547007-p37 | Frequent access to earned wages improves worker well-being and autonomy even without increasing nominal income | Payday | 41-43 | machine-drafted-source-checked |
| ssrn-3547007-p38 | Loss of employer float is a real transition cost, but workers’ wages are an inappropriate source of business credit even for small firms | Payday | 42-43 | machine-drafted-source-checked |
| ssrn-3547007-p39 | Any wage-premium loss from ending K2 is theoretically possible but empirically uncertain and may be offset by labor-supply and well-being gains | Payday | 43 | machine-drafted-source-checked |
| ssrn-3547007-p40 | Daily pay would not eliminate short-term credit but could materially reduce demand for the most expensive loans | Payday | 43-45 | machine-drafted-source-checked |
| ssrn-3547007-p41 | More frequent wages could enable more frequent utility payment and remove a second layer of implicit household borrowing | Payday | 44-45 | machine-drafted-source-checked |
| ssrn-3547007-p42 | Earned-wage advances reveal K2’s inefficiency because they charge workers to regain wages already earned | Payday | 45-46 | machine-drafted-source-checked |
| ssrn-3547007-p43 | Earned-wage advances are an incomplete and potentially abusive substitute because they add fees, complex regulation, and lender-like risks to an avoidable delay | Payday | 45-48 | machine-drafted-source-checked |
| ssrn-3547007-p44 | The core reform requires daily payment of at least ninety-three percent of a good-faith wage estimate and a full biweekly true-up | Payday | 48-49 | machine-drafted-source-checked |
| ssrn-3547007-p45 | The seven-percent reserve balances employee liquidity against estimation errors and employer difficulty recovering overpayments | Payday | 49 | machine-drafted-source-checked |
| ssrn-3547007-p46 | A consolidated accounting-day pay stub can preserve wage-theft monitoring while keeping compliance review at its current biweekly scale | Payday | 49 | machine-drafted-source-checked |
| ssrn-3547007-p47 | An employee option to retain biweekly pay may become a behavioral trap, so financial institutions are preferable savings agents and reform should transition gradually | Payday | 50 | machine-drafted-source-checked |
| ssrn-3547007-p48 | Employers should disclose payday as credit and identify its implicit annual percentage rate and interest payment | Payday | 51-52 | machine-drafted-source-checked |
| ssrn-3547007-p49 | Government can lead pay-frequency reform by replacing its statutorily mandated biweekly schedule with daily estimated payments | Payday | 52-53 | machine-drafted-source-checked |
| ssrn-3547007-p50 | Employment law should divorce the accounting period used for minimum-wage and overtime compliance from the frequency of wage transfer | Payday | 53-54 | machine-drafted-source-checked |
| ssrn-3547007-p51 | Payroll cards can extend rapid digital payment to unbanked workers, but fees, insurance, disclosure, consent, and fragmented regulation require safeguards | Payday | 54-56 | machine-drafted-source-checked |
| ssrn-3547007-p52 | Daily pay can initially be limited to workers accepting bank or payroll-card transfer, allowing reform without worsening the position of workers who prefer cash or checks | Payday | 56-57 | machine-drafted-source-checked |
| ssrn-3568768-p01 | The effectiveness of consumer-driven market discipline determines how much legal intervention consumer markets require | Consumer Activism: From the Informed Minority to the Crusading Minority | 233-235 | machine-drafted-source-checked |
| ssrn-3568768-p02 | The informed-minority theory attributes market-wide contract improvement to a critical mass of readers who compare terms before purchase | Consumer Activism: From the Informed Minority to the Crusading Minority | 234-236 | machine-drafted-source-checked |
| ssrn-3568768-p03 | Observed contract readership is too sparse and costly to provide the critical mass the informed-minority mechanism requires in many modern markets | Consumer Activism: From the Informed Minority to the Crusading Minority | 234-241 | machine-drafted-source-checked |
| ssrn-3568768-p04 | Consumer governance can operate through ex post crusaders who punish disappointment rather than ex ante readers who compare fine print | Consumer Activism: From the Informed Minority to the Crusading Minority | 234-237 | machine-drafted-source-checked |
| ssrn-3568768-p05 | Nudniks are persistent consumers whose sense of justice and atypical cost structure make them vindicate transactional expectations others abandon | Consumer Activism: From the Informed Minority to the Crusading Minority | 235-236 | machine-drafted-source-checked |
| ssrn-3568768-p06 | Nudnik claims arise from transactional expectations shaped by representations, advertising, norms, and fairness, not only enforceable fine print | Consumer Activism: From the Informed Minority to the Crusading Minority | 235-236 | machine-drafted-source-checked |
| ssrn-3568768-p07 | Nudnik activism can create broad positive spillovers but also impose costs, and the essay does not claim a conclusive net-welfare estimate | Consumer Activism: From the Informed Minority to the Crusading Minority | 235-237 | machine-drafted-source-checked |
| ssrn-3568768-p08 | The essay replaces the informed-minority theory’s readership premise while reserving the separate problem of firms using data to identify and isolate activists | Consumer Activism: From the Informed Minority to the Crusading Minority | 236-237 | machine-drafted-source-checked |
| ssrn-3568768-p09 | The internet and social media amplify crusaders, and inability to identify them ex ante can induce better service for all consumers | Consumer Activism: From the Informed Minority to the Crusading Minority | 236-237 | machine-drafted-source-checked |
| ssrn-3568768-p10 | Complex language, legalese, format, and transaction structure prevent many consumers from understanding contract terms | Consumer Activism: From the Informed Minority to the Crusading Minority | 237-238 | machine-drafted-source-checked |
| ssrn-3568768-p11 | Contract apathy is often rational because reading costs are immediate while benefits are remote, uncertain, and difficult to capture | Consumer Activism: From the Informed Minority to the Crusading Minority | 238-239 | machine-drafted-source-checked |
| ssrn-3568768-p12 | Consumers remain passive after seller failure because they may not know their rights and because enforcement costs exceed individual recovery | Consumer Activism: From the Informed Minority to the Crusading Minority | 239 | machine-drafted-source-checked |
| ssrn-3568768-p13 | Without an effective consumer-governance mechanism, sellers could offer inferior terms and performance until distrust creates a lemons-style market breakdown | Consumer Activism: From the Informed Minority to the Crusading Minority | 239 | machine-drafted-source-checked |
| ssrn-3568768-p14 | Reputational discipline predicts that anticipated negative reviews deter seller underperformance by redirecting future buyers | Consumer Activism: From the Informed Minority to the Crusading Minority | 242 | machine-drafted-source-checked |
| ssrn-3568768-p15 | Reputational theories are underspecified because they assume rather than explain who produces credible information, why audiences believe it, and how they act | Consumer Activism: From the Informed Minority to the Crusading Minority | 242-243 | machine-drafted-source-checked |
| ssrn-3568768-p16 | Reputational information is a public good produced by a self-selected minority, so review volume and representativeness cannot be presumed | Consumer Activism: From the Informed Minority to the Crusading Minority | 242-243 | machine-drafted-source-checked |
| ssrn-3568768-p17 | Four stylized consumer types—passivists, shoppers, sophisticates, and nudniks—differ in timing, information, motivation, and mode of action | Consumer Activism: From the Informed Minority to the Crusading Minority | 244-245 | machine-drafted-source-checked |
| ssrn-3568768-p18 | Passivists form the dominant consumer group because confrontation, time, and uncertain redress make complaining unattractive | Consumer Activism: From the Informed Minority to the Crusading Minority | 245-246 | machine-drafted-source-checked |
| ssrn-3568768-p19 | Nudnik behavior need not be irrational once utility includes principle, spite, altruism, identity, or vindication rather than money alone | Consumer Activism: From the Informed Minority to the Crusading Minority | 246-247 | machine-drafted-source-checked |
| ssrn-3568768-p20 | Shoppers discipline sellers through ex ante reading and exit, whereas nudniks use ex post voice after disappointed expectations | Consumer Activism: From the Informed Minority to the Crusading Minority | 247 | machine-drafted-source-checked |
| ssrn-3568768-p21 | Sophisticates strategically exploit contract terms and remedies for private gain, while nudniks enforce perceived fairness without requiring profitable legal rights | Consumer Activism: From the Informed Minority to the Crusading Minority | 248-250 | machine-drafted-source-checked |
| ssrn-3568768-p22 | Nudnik enforcement is more likely than sophisticated optimization to produce positive spillovers and to survive loss of profitable aggregate litigation | Consumer Activism: From the Informed Minority to the Crusading Minority | 249-250 | machine-drafted-source-checked |
| ssrn-3568768-p23 | Public gripe sites can exemplify socially useful nudnik voice or profit-driven trolling depending on the operator’s purpose and conduct | Consumer Activism: From the Informed Minority to the Crusading Minority | 250-251 | machine-drafted-source-checked |
| ssrn-3568768-p24 | A seemingly disproportionate fight over a small overcharge can deter systematic misconduct and generate a market-wide public benefit | Consumer Activism: From the Informed Minority to the Crusading Minority | 251-252 | machine-drafted-source-checked |
| ssrn-3568768-p25 | A single consumer can mobilize passive buyers and reverse a lawful firm policy through a resonant public campaign | Consumer Activism: From the Informed Minority to the Crusading Minority | 252-253 | machine-drafted-source-checked |
| ssrn-3568768-p26 | Creative digital complaint tactics can impose outsized reputational costs and force service recovery from large firms | Consumer Activism: From the Informed Minority to the Crusading Minority | 253-254 | machine-drafted-source-checked |
| ssrn-3568768-p27 | Nudnik activism is often a repeated disposition and attracts hostility precisely because its persistence departs from ordinary consumer behavior | Consumer Activism: From the Informed Minority to the Crusading Minority | 254-255 | machine-drafted-source-checked |
| ssrn-3568768-p28 | Internally motivated crusaders are relatively resistant to higher activism costs that silence shoppers and profit-seeking enforcers | Consumer Activism: From the Informed Minority to the Crusading Minority | 255-256 | machine-drafted-source-checked |
| ssrn-3568768-p29 | Crusading activism does not require contract comprehension because it enforces increasingly rich market expectations after performance | Consumer Activism: From the Informed Minority to the Crusading Minority | 256-258 | machine-drafted-source-checked |
| ssrn-3568768-p30 | One crusader can trigger meaningful sanctions without the critical mass required by comparison-shopping models | Consumer Activism: From the Informed Minority to the Crusading Minority | 258 | machine-drafted-source-checked |
| ssrn-3568768-p31 | Legally cognizable nudnik claims discipline sellers through lawsuits, regulatory complaints, payment holds, and the anticipated costs of those actions | Consumer Activism: From the Informed Minority to the Crusading Minority | 259 | machine-drafted-source-checked |
| ssrn-3568768-p32 | Reputational pressure can force firms to honor supra-contractual expectations even when fine print authorizes their conduct | Consumer Activism: From the Informed Minority to the Crusading Minority | 259-260 | machine-drafted-source-checked |
| ssrn-3568768-p33 | The shadow of an unidentified nudnik can induce sellers to improve performance for everyone because post-complaint buyoffs may come too late | Consumer Activism: From the Informed Minority to the Crusading Minority | 260-261 | machine-drafted-source-checked |
| ssrn-3568768-p34 | The squeaky-wheel system raises distributional concerns, but those concerns are not unique to nudniks and may be offset by market-wide benefits | Consumer Activism: From the Informed Minority to the Crusading Minority | 261-263 | machine-drafted-source-checked |
| ssrn-3568768-p35 | The social value of a complaint should be judged by its outputs rather than whether the complainant was motivated by spite, revenge, compensation, or entitlement | Consumer Activism: From the Informed Minority to the Crusading Minority | 263-264 | machine-drafted-source-checked |
| ssrn-3568768-p36 | Representativeness is the central welfare question, but existing complaint research gives tentative reasons to think many serial complaints track broader consumer interests | Consumer Activism: From the Informed Minority to the Crusading Minority | 264-265 | machine-drafted-source-checked |
| ssrn-3568768-p37 | Sellers and audiences filter bad complaints: salient advance communication can reset unrealistic expectations, and other consumers amplify only grievances that resonate | Consumer Activism: From the Informed Minority to the Crusading Minority | 265-266 | machine-drafted-source-checked |
| ssrn-3568768-p38 | Crusading consumers are an understudied source of modern market governance and, on existing evidence, often function as unsung heroes | Consumer Activism: From the Informed Minority to the Crusading Minority | 266-267 | machine-drafted-source-checked |
| ssrn-3519630-p01 | Legal reliance on blocks of capital letters is unsupported contract lore rather than an evidence-based method of improving consumer consent | ALL-CAPS | 3-7 | machine-drafted-source-checked |
| ssrn-3519630-p02 | Consumer inattention to fine print permits firms to shroud onerous terms, creating the no-reading problem that conspicuous disclosure is supposed to solve | ALL-CAPS | 3-4 | machine-drafted-source-checked |
| ssrn-3519630-p03 | Conspicuous-disclosure rules make typography a gateway to enforcement of especially consequential consumer terms | ALL-CAPS | 4-6 | machine-drafted-source-checked |
| ssrn-3519630-p04 | Courts and statutes widely equate capitalization with conspicuousness even though the supporting empirical record is absent and legibility evidence is mostly negative | ALL-CAPS | 11-16 | machine-drafted-source-checked |
| ssrn-3519630-p05 | A computational study of standard forms from 500 high-traffic websites measures capitalization in contracts governing hundreds of millions of consumer relationships | ALL-CAPS | 17-19 | machine-drafted-source-checked |
| ssrn-3519630-p06 | All-caps is pervasive in major consumer contracts, with roughly seventy-seven percent containing a capitalized paragraph | ALL-CAPS | 18-20 | machine-drafted-source-checked |
| ssrn-3519630-p07 | The near absence of all-caps from persuasive marketing is evidence against its effectiveness when firms genuinely want consumers to understand a message | ALL-CAPS | 19-20 | machine-drafted-source-checked |
| ssrn-3519630-p08 | Every plausible behavioral justification for all-caps predicts improved recall, whether the mechanism is attention allocation, readability, warning, or slower deliberation | ALL-CAPS | 20-21 | machine-drafted-source-checked |
| ssrn-3519630-p09 | All-caps should not satisfy conspicuousness without a meaningful behavioral effect because the error cost is enforcement of unknown and onerous terms | ALL-CAPS | 21-22 | machine-drafted-source-checked |
| ssrn-3519630-p10 | A randomized experiment isolates capitalization by presenting 570 American respondents with an identical fifteen-paragraph subscription contract and varying one cancellation paragraph | ALL-CAPS | 22-27 | machine-drafted-source-checked |
| ssrn-3519630-p11 | The experiment uses demographic comparison, geolocation, digital fingerprints, attention checks, reading time, and multiple answer choices to improve response validity | ALL-CAPS | 22-27 | machine-drafted-source-checked |
| ssrn-3519630-p12 | Capitalizing the cancellation paragraph produced no improvement at all in respondents’ ability to identify the contract’s cancellation rule | ALL-CAPS | 27-30 | machine-drafted-source-checked |
| ssrn-3519630-p13 | All-caps did not act as a fire-siren warning that alerted readers to the existence or importance of the tested cancellation term | ALL-CAPS | 29-30 | machine-drafted-source-checked |
| ssrn-3519630-p14 | All-caps substantially harmed older readers: respondents over fifty-five made errors at roughly twice the rate of peers who saw low-caps text | ALL-CAPS | 30-32 | machine-drafted-source-checked |
| ssrn-3519630-p15 | A null average benefit combined with substantial harm to older readers shifts the justificatory burden to defenders of all-caps | ALL-CAPS | 30-32 | machine-drafted-source-checked |
| ssrn-3519630-p16 | A second experiment tests whether all-caps becomes useful under severe time pressure by randomizing capitalization across three short contracts with strict reading limits | ALL-CAPS | 32-34 | machine-drafted-source-checked |
| ssrn-3519630-p17 | Even under strict time pressure, all-caps did not improve accuracy and ordinary type performed somewhat better in two of the three tests | ALL-CAPS | 34-35 | machine-drafted-source-checked |
| ssrn-3519630-p18 | Readers rated an all-caps contract substantially harder to read and somewhat harder to understand than the same contract in ordinary type | ALL-CAPS | 35-38 | machine-drafted-source-checked |
| ssrn-3519630-p19 | All-caps readers took about thirteen percent longer to finish, a directionally important but statistically inconclusive result | ALL-CAPS | 38-39 | machine-drafted-source-checked |
| ssrn-3519630-p20 | A four-arm experiment compares ordinary type, all-caps, a boxed clause, and bolding only the key sentence in a recreational-vehicle liability disclaimer | ALL-CAPS | 39-41 | machine-drafted-source-checked |
| ssrn-3519630-p21 | Selectively bolding the key sentence produced the lowest error rates and substantially outperformed ordinary text on the main liability question | ALL-CAPS | 41-43 | machine-drafted-source-checked |
| ssrn-3519630-p22 | The bolding result is an existence proof that contract presentation can improve understanding, not a universal prescription for bold text | ALL-CAPS | 41-44 | machine-drafted-source-checked |
| ssrn-3519630-p23 | Judicial reliance on all-caps has concrete high-stakes consequences, including denial of personal-injury recovery and enforcement of class-action waivers | ALL-CAPS | 45-47 | machine-drafted-source-checked |
| ssrn-3519630-p24 | A formal all-caps safe haven gives firms incentives to satisfy the appearance of disclosure while preserving consumer ignorance | ALL-CAPS | 45-48 | machine-drafted-source-checked |
| ssrn-3519630-p25 | Courts and lawmakers should stop assigning all-caps any special weight in deciding whether a term was conspicuous or knowingly accepted | ALL-CAPS | 45-50 | machine-drafted-source-checked |
| ssrn-3519630-p26 | Replacing all-caps with another universal formatting safe haven would recreate the same vulnerability to manipulation and contextual mismatch | ALL-CAPS | 50-51 | machine-drafted-source-checked |
| ssrn-3519630-p27 | Contract design should separate a salient notice marker or heading from a readable low-caps explanation of the legal term | ALL-CAPS | 51-52 | machine-drafted-source-checked |
| ssrn-3519630-p28 | Failure of the leading conspicuousness device supports skepticism about disclosure mandates, while success of selective bolding shows that disclosure is not necessarily futile | ALL-CAPS | 52-53 | machine-drafted-source-checked |
| ssrn-3519630-p29 | Onerous terms should be presumptively unenforceable unless the drafting firm can show that its disclosure method effectively communicated them | ALL-CAPS | 53-54 | machine-drafted-source-checked |
| ssrn-3519630-p30 | A performance rule would use firms’ existing A/B-testing capacity to generate innovation and cumulative knowledge about effective contract communication | ALL-CAPS | 53-55 | machine-drafted-source-checked |
| ssrn-3519630-p31 | Disclosure should be evaluated for vulnerable subgroups and may properly minimize misunderstanding rather than maximize average comprehension | ALL-CAPS | 54-55 | machine-drafted-source-checked |
| ssrn-3519630-p32 | Contract law should abandon untested all-caps formalism, demand proof from firms, and pursue targeted methods that genuinely help consumers understand consequential terms | ALL-CAPS | 55-56 | machine-drafted-source-checked |
| ssrn-3311527-p01 | Contemporary proposals and institutional projects make expansion of American defamation law a concrete rather than merely theoretical possibility | The Case Against Expanding Defamation Laws | 454-455 | machine-drafted-source-checked |
| ssrn-3311527-p02 | The conventional proposition that stronger defamation law necessarily protects reputation is an untested axiom rather than a complete account | The Case Against Expanding Defamation Laws | 455-456 | machine-drafted-source-checked |
| ssrn-3311527-p03 | Reputational injury is mediated by third-party audiences, so a speaker-victim model omits the actor whose belief converts speech into harm | The Case Against Expanding Defamation Laws | 456-457 | machine-drafted-source-checked |
| ssrn-3311527-p04 | Defamation liability can make surviving accusations more credible by increasing the expected cost of sending false signals | The Case Against Expanding Defamation Laws | 456-458 | machine-drafted-source-checked |
| ssrn-3311527-p05 | The seesaw dynamic trades a lower quantity of false statements for greater credibility and greater harm from each residual falsehood | The Case Against Expanding Defamation Laws | 457-458 | machine-drafted-source-checked |
| ssrn-3311527-p06 | Audience effects do not depend on legally expert or perfectly rational listeners and may become stronger when listeners are credulous | The Case Against Expanding Defamation Laws | 458-459 | machine-drafted-source-checked |
| ssrn-3311527-p07 | Defamation reform should compare harm avoided through deterrence with harm amplified through credibility, and uncertainty should favor speech | The Case Against Expanding Defamation Laws | 459-460 | machine-drafted-source-checked |
| ssrn-3311527-p08 | Expanding libel law to fight fake news can backfire by giving audiences false assurance that published allegations have survived a reliable legal filter | The Case Against Expanding Defamation Laws | 460 | machine-drafted-source-checked |
| ssrn-3311527-p09 | Protection of social reputation is the dominant justification for defamation law and is analytically distinct from emotional distress or privacy | The Case Against Expanding Defamation Laws | 461-462 | machine-drafted-source-checked |
| ssrn-3311527-p10 | Property, dignity, social-order, and economic theories converge on the importance of reputation while explaining that importance differently | The Case Against Expanding Defamation Laws | 462-464 | machine-drafted-source-checked |
| ssrn-3311527-p11 | Defamation law is conventionally said to protect reputation through deterrence, redress, and vindication | The Case Against Expanding Defamation Laws | 464-465 | machine-drafted-source-checked |
| ssrn-3311527-p12 | Defamation law is intentionally incomplete because perfect suppression of falsehood would impose intolerable error, chilling, and administrative costs | The Case Against Expanding Defamation Laws | 465-466 | machine-drafted-source-checked |
| ssrn-3311527-p13 | New York Times v. Sullivan constitutionalized defamation law by balancing reputation against the breathing space required for protected expression | The Case Against Expanding Defamation Laws | 465-466 | machine-drafted-source-checked |
| ssrn-3311527-p14 | Modern defamation doctrine combines private reputation protection with historical remnants of social control and seditious libel | The Case Against Expanding Defamation Laws | 466-467 | machine-drafted-source-checked |
| ssrn-3311527-p15 | Publication, falsity, and defamatory meaning encode the audience’s role within the formal elements of the tort | The Case Against Expanding Defamation Laws | 467 | machine-drafted-source-checked |
| ssrn-3311527-p16 | Defamation adjudication produces legally authoritative truth under fallible procedures rather than direct access to ontological truth | The Case Against Expanding Defamation Laws | 467-468 | machine-drafted-source-checked |
| ssrn-3311527-p17 | Courts evaluate defamatory meaning through an imagined respectable audience rather than direct proof of every listener’s actual reaction | The Case Against Expanding Defamation Laws | 468-469 | machine-drafted-source-checked |
| ssrn-3311527-p18 | Large doctrinal and practical domains of reputation-affecting speech remain outside effective defamation liability | The Case Against Expanding Defamation Laws | 469-470 | machine-drafted-source-checked |
| ssrn-3311527-p19 | The accepted protection of opinion rests partly on the audience’s capacity to recognize and discount speech that lacks verifiable factual content | The Case Against Expanding Defamation Laws | 470-471 | machine-drafted-source-checked |
| ssrn-3311527-p20 | Audiences are imperfect but active evaluators who use source identity and context to screen information rather than believing speech automatically | The Case Against Expanding Defamation Laws | 471-472 | machine-drafted-source-checked |
| ssrn-3311527-p21 | The restaurant example models reputation as valuable information about hidden quality under a tolerable baseline risk | The Case Against Expanding Defamation Laws | 473 | machine-drafted-source-checked |
| ssrn-3311527-p22 | Heterogeneous motives allow liability to deter marginal liars while leaving truthful and highly motivated speakers comparatively unchanged | The Case Against Expanding Defamation Laws | 473-475 | machine-drafted-source-checked |
| ssrn-3311527-p23 | Without effective defamation recourse, honest speakers report quality accurately while motivated speakers disparage regardless of quality | The Case Against Expanding Defamation Laws | 475-477 | machine-drafted-source-checked |
| ssrn-3311527-p24 | A rational patron discounts a negative review in the lax-law world because only twenty of fifty-two negative reviews are true | The Case Against Expanding Defamation Laws | 477-478 | machine-drafted-source-checked |
| ssrn-3311527-p25 | An expansion of defamation law can occur through damages, burdens, privileges, enforcement, or litigation access rather than a binary switch | The Case Against Expanding Defamation Laws | 478-479 | machine-drafted-source-checked |
| ssrn-3311527-p26 | Strict law deters low-motive false speakers but leaves high-motive false speakers, making the remaining negative pool more selected for truth | The Case Against Expanding Defamation Laws | 479-480 | machine-drafted-source-checked |
| ssrn-3311527-p27 | The model’s strict-law equilibrium raises the reported probability that a negative review is true from thirty-eight percent to fifty-five percent and crosses the avoidance threshold | The Case Against Expanding Defamation Laws | 480 | machine-drafted-source-checked |
| ssrn-3311527-p28 | Strict defamation law can harm high-quality firms because suppressing false reviews makes each remaining negative review sufficiently credible to change patron behavior | The Case Against Expanding Defamation Laws | 481 | machine-drafted-source-checked |
| ssrn-3311527-p29 | The generalized seesaw dynamic follows from costly signaling: fewer false signals increase average reliability and magnify the effect of any false signal that remains | The Case Against Expanding Defamation Laws | 481-482 | machine-drafted-source-checked |
| ssrn-3311527-p30 | The trilateral model rejects categorical protection claims without asserting that stricter defamation law always harms reputation | The Case Against Expanding Defamation Laws | 483-484 | machine-drafted-source-checked |
| ssrn-3311527-p31 | The article models behavioral reputation effects rather than full welfare, and enhanced credibility can itself be socially valuable when audiences are excessively skeptical | The Case Against Expanding Defamation Laws | 483-484 | machine-drafted-source-checked |
| ssrn-3311527-p32 | A vague and even erroneous public belief that defamation law changed is enough to generate audience effects | The Case Against Expanding Defamation Laws | 484-485 | machine-drafted-source-checked |
| ssrn-3311527-p33 | The more completely falsehoods stick regardless of context, the stronger the case for quantity reduction; otherwise credibility effects remain relevant | The Case Against Expanding Defamation Laws | 485-486 | machine-drafted-source-checked |
| ssrn-3311527-p34 | Every feasible improvement in enforcement can produce fewer but more harmful residual falsehoods because perfect deterrence is unattainable | The Case Against Expanding Defamation Laws | 486-487 | machine-drafted-source-checked |
| ssrn-3311527-p35 | Anti-lying norms set the baseline credibility of speech, while defamation law changes reliability only relative to that background | The Case Against Expanding Defamation Laws | 487-488 | machine-drafted-source-checked |
| ssrn-3311527-p36 | The deterrence rationale is incomplete because reducing lies also raises the diagnostic value and social harm of undeterred lies | The Case Against Expanding Defamation Laws | 488 | machine-drafted-source-checked |
| ssrn-3311527-p37 | A redress justification must account for harm that the availability of defamation remedies itself helps create | The Case Against Expanding Defamation Laws | 489-490 | machine-drafted-source-checked |
| ssrn-3311527-p38 | Vindication is limited by circularity, entrenchment, and antivindication | The Case Against Expanding Defamation Laws | 490-491 | machine-drafted-source-checked |
| ssrn-3311527-p39 | The desirable scope of defamation law must be chosen domain by domain according to audience stakes, credibility, and response thresholds | The Case Against Expanding Defamation Laws | 491 | machine-drafted-source-checked |
| ssrn-3311527-p40 | Stricter defamation protection may be justified in employment because even a weak allegation of serious misconduct can destroy future opportunity | The Case Against Expanding Defamation Laws | 492-493 | machine-drafted-source-checked |
| ssrn-3311527-p41 | Consumer reviews should carry a presumption against expanded defamation liability because other information and error mechanisms reduce its expected value | The Case Against Expanding Defamation Laws | 493-494 | machine-drafted-source-checked |
| ssrn-3311527-p42 | Public awareness that political information may be fake or biased can mitigate its harm, making broad libel expansion especially dangerous | The Case Against Expanding Defamation Laws | 494 | machine-drafted-source-checked |
| ssrn-3311527-p43 | First Amendment balancing must use the net reputational effect of defamation law rather than treating its gross deterrent benefit as the opposing interest | The Case Against Expanding Defamation Laws | 495-496 | machine-drafted-source-checked |
| ssrn-3311527-p44 | When the net benefit of expansion is uncertain, constitutional protection requires courts to err toward speech and explicitly consider audience effects | The Case Against Expanding Defamation Laws | 496-497 | machine-drafted-source-checked |
| ssrn-3272595-p01 | The apparently ungainly civil justice system may nevertheless embody a robust evolutionary adaptation to a complex environment | Book Review: Civil Justice | 509 | machine-drafted-source-checked |
| ssrn-3272595-p02 | Croley's accessible synthesis makes civil-justice scholarship useful to policymakers, citizens, and scholars beyond procedural specialists | Book Review: Civil Justice | 509 | machine-drafted-source-checked |
| ssrn-3272595-p03 | Croley's empirical review finds little support for a civil system broadly biased toward plaintiffs or routinely awarding disproportionate damages | Book Review: Civil Justice | 510 | machine-drafted-source-checked |
| ssrn-3272595-p04 | Croley locates the deeper crisis in meritorious plaintiffs deterred by cost and complexity and proposes more cases with less litigation per case | Book Review: Civil Justice | 510-511 | machine-drafted-source-checked |
| ssrn-3272595-p05 | Localized, incremental procedural experiments are more politically feasible and empirically evaluable than radical restructuring | Book Review: Civil Justice | 511 | machine-drafted-source-checked |
| ssrn-3272595-p06 | Croley's evenhanded treatment of conflicting evidence makes the book a trusted guide in a politicized field | Book Review: Civil Justice | 511 | machine-drafted-source-checked |
| ssrn-3272595-p07 | Croley applies much greater empirical rigor to rejecting overlitigation than to establishing widespread underparticipation by meritorious plaintiffs | Book Review: Civil Justice | 511-512 | machine-drafted-source-checked |
| ssrn-3272595-p08 | Using near-even win rates to infer neutral courts conflicts with a reform designed to add disproportionately meritorious plaintiff cases | Book Review: Civil Justice | 512 | machine-drafted-source-checked |
| ssrn-3272595-p09 | Any plaintiff trial-win frequency can coexist with very different substantive standards because settlement and filing selection shape the litigated pool | Book Review: Civil Justice | 512-513 | machine-drafted-source-checked |
| ssrn-3272595-p10 | A greater than ninety-nine-percent conviction outcome can result from highly selective charging rather than an adjudicative standard biased against defendants | Book Review: Civil Justice | 513 | machine-drafted-source-checked |
| ssrn-3272595-p11 | Civil-justice scholarship understates debt collection even though roughly eight million annual cases constitute more than half of the civil docket | Book Review: Civil Justice | 513-514 | machine-drafted-source-checked |
| ssrn-3272595-p12 | Debt collection exhibits a systemic plaintiff advantage because weak service, scant proof, absent consumers, and minimal judicial screening routinely produce default judgments | Book Review: Civil Justice | 514 | machine-drafted-source-checked |
| ssrn-3272595-p13 | A reform that induces participation in millions of small debt cases could overwhelm a civil system already criticized as slow and congested | Book Review: Civil Justice | 514-515 | machine-drafted-source-checked |
| ssrn-3272595-p14 | Random agency audits and expected fines can deter abusive filings across the debt docket without requiring every consumer to participate | Book Review: Civil Justice | 514-515 | machine-drafted-source-checked |
| ssrn-3272595-p15 | Tort reform increasingly operates through politically unobtrusive mechanisms such as apology laws rather than only explicit damages caps | Book Review: Civil Justice | 515-516 | machine-drafted-source-checked |
| ssrn-3272595-p16 | The surviving source begins an effective-altruist critique of mandatory pro bono and civil Gideon but ends before stating the comparison or conclusion | Book Review: Civil Justice | 516 | machine-drafted-source-checked |
| ssrn-3015569-p01 | Mass consumer-debt litigation lets repeat-player creditors profit from unmeritorious claims because consumers rarely defend and courts enter defaults with little scrutiny | Adminization: Gatekeeping Consumer Contracts | 121-124 | machine-drafted-source-checked |
| ssrn-3015569-p02 | Adminization inserts an administrative gatekeeper between filing and litigation to sample claims, investigate selected cases, and fine plaintiffs who bring baseless claims | Adminization: Gatekeeping Consumer Contracts | 124-126 | machine-drafted-source-checked |
| ssrn-3015569-p03 | Adminization can operate through federal, state, or local consumer agencies because the process matters more than any single institutional home | Adminization: Gatekeeping Consumer Contracts | 125-126 | machine-drafted-source-checked |
| ssrn-3015569-p04 | Random sampling is sufficient to launch Adminization, while machine learning can later concentrate audits on claims statistically associated with wrongdoing | Adminization: Gatekeeping Consumer Contracts | 125-126 | machine-drafted-source-checked |
| ssrn-3015569-p05 | Court-centered reforms cannot scale if they require millions of additional consumers to answer, appear, retain counsel, or receive individualized judicial screening | Adminization: Gatekeeping Consumer Contracts | 126-127 | machine-drafted-source-checked |
| ssrn-3015569-p06 | Adminization is simultaneously a consumer-debt proposal, a model for asymmetric civil disputes, a near-term use of AI for case selection, and a theory of agency-court complementarity | Adminization: Gatekeeping Consumer Contracts | 127-129 | machine-drafted-source-checked |
| ssrn-3015569-p07 | Selective audits, existing agency infrastructure, deterrence-induced filing reductions, and mixed institutional oversight make Adminization comparatively budget friendly and resistant to capture | Adminization: Gatekeeping Consumer Contracts | 127-129 | machine-drafted-source-checked |
| ssrn-3015569-p08 | The adversarial system's truth-producing logic collapses when consumer defendants systematically fail to answer and judges remain informationally passive | Adminization: Gatekeeping Consumer Contracts | 130-132 | machine-drafted-source-checked |
| ssrn-3015569-p09 | Regulatory actions and complaint data indicate widespread substantive and procedural abuse in debt collection, including stale, inflated, unverified, and deceptive claims | Adminization: Gatekeeping Consumer Contracts | 132-134 | machine-drafted-source-checked |
| ssrn-3015569-p10 | Many debt suits lack competent evidence and rely on defective or fabricated service, enabling judgments without proof or actual notice | Adminization: Gatekeeping Consumer Contracts | 134-137 | machine-drafted-source-checked |
| ssrn-3015569-p11 | Consumer nonappearance is often a rational response to the economics and psychology of small-value debt litigation, not proof that the claim is valid | Adminization: Gatekeeping Consumer Contracts | 137-140 | machine-drafted-source-checked |
| ssrn-3015569-p12 | The disappearance of civil trials and judicial passivity allow millions of debt claims to become judgments without meaningful merits review | Adminization: Gatekeeping Consumer Contracts | 140-142 | machine-drafted-source-checked |
| ssrn-3015569-p13 | Repeat-player creditors retain structural advantages even when consumers appear, and courthouse settlements may intensify rather than cure those disadvantages | Adminization: Gatekeeping Consumer Contracts | 140-142 | machine-drafted-source-checked |
| ssrn-3015569-p14 | An agency can create a minimum protection floor by investigating creditor claims without waiting for consumers to invoke their rights | Adminization: Gatekeeping Consumer Contracts | 142-144 | machine-drafted-source-checked |
| ssrn-3015569-p15 | Courts and agencies need not be institutional substitutes; administrative screening can augment ordinary litigation while preserving judicial adjudication | Adminization: Gatekeeping Consumer Contracts | 143-144 | machine-drafted-source-checked |
| ssrn-3015569-p16 | Agency auditors can assemble a richer and more reliable factual record than a court receives from an unrepresented, nonappearing consumer | Adminization: Gatekeeping Consumer Contracts | 144-146 | machine-drafted-source-checked |
| ssrn-3015569-p17 | Administrative fines can translate a small probability of audit into broad deterrence if their expected cost reflects the severity and probability of detection | Adminization: Gatekeeping Consumer Contracts | 146 | machine-drafted-source-checked |
| ssrn-3015569-p18 | Administrative sampling permits scarce enforcement resources to be concentrated rather than requiring equal judicial attention to every filed claim | Adminization: Gatekeeping Consumer Contracts | 146-148 | machine-drafted-source-checked |
| ssrn-3015569-p19 | Machine-learning risk selection can improve audit yield, but opacity, gaming, and error make it a bounded supplement rather than a prerequisite for Adminization | Adminization: Gatekeeping Consumer Contracts | 148-151 | machine-drafted-source-checked |
| ssrn-3015569-p20 | Operational systems for credit-card fraud, spam, and numerical anomaly detection show that algorithms can screen enormous streams for suspicious cases at low marginal cost | Adminization: Gatekeeping Consumer Contracts | 148-151 | machine-drafted-source-checked |
| ssrn-3015569-p21 | Agency audits can create the labeled data needed for smart sampling, but continued review of unflagged cases is necessary to detect blind spots and changing behavior | Adminization: Gatekeeping Consumer Contracts | 151 | machine-drafted-source-checked |
| ssrn-3015569-p22 | A neutral gatekeeper should manage service and translate legal claims into plain-language communications rather than leaving notice to an interested creditor | Adminization: Gatekeeping Consumer Contracts | 151-152 | machine-drafted-source-checked |
| ssrn-3015569-p23 | Creditors should submit standardized, comprehensible claim data and face sanctions for false evidentiary assertions, while formal affidavit rules may be relaxed if substantive verification improves | Adminization: Gatekeeping Consumer Contracts | 152-153 | machine-drafted-source-checked |
| ssrn-3015569-p24 | Automated bright-line review should reject facially time-barred, usurious, or duplicate claims before they burden consumers or courts | Adminization: Gatekeeping Consumer Contracts | 153-154 | machine-drafted-source-checked |
| ssrn-3015569-p25 | Smart sampling can use creditor, debt, timing, amount, and demographic patterns to identify concentrated abuse against vulnerable consumers and by recurrent bad actors | Adminization: Gatekeeping Consumer Contracts | 154 | machine-drafted-source-checked |
| ssrn-3015569-p26 | Selected claims should receive document-intensive audits and simple consumer outreach, with appealable sanctions calibrated to wrongdoing and detection probability | Adminization: Gatekeeping Consumer Contracts | 154-155 | machine-drafted-source-checked |
| ssrn-3015569-p27 | Plain-language communications should let consumers admit, contest, or ignore a debt through low-friction pathways tailored to each response | Adminization: Gatekeeping Consumer Contracts | 155-156 | machine-drafted-source-checked |
| ssrn-3015569-p28 | Audit, court, and consumer outcomes should update the selection system and creditor reputation, while every creditor retains some nonzero probability of review | Adminization: Gatekeeping Consumer Contracts | 156-157 | machine-drafted-source-checked |
| ssrn-3015569-p29 | Administrative deterrence can reduce abusive filings, free courts for genuine disputes, lower compliant creditors' costs, and increase the legitimacy of consumer credit | Adminization: Gatekeeping Consumer Contracts | 156-157 | machine-drafted-source-checked |
| ssrn-3015569-p30 | Universal or broad civil representation cannot economically scale to the millions of annual consumer debt cases | Adminization: Gatekeeping Consumer Contracts | 158-161 | machine-drafted-source-checked |
| ssrn-3015569-p31 | Means and merits tests reduce representation costs only by creating new classification errors, administrative burdens, stigma, and barriers for the people most in need | Adminization: Gatekeeping Consumer Contracts | 161-162 | machine-drafted-source-checked |
| ssrn-3015569-p32 | Routine representation may prevent enforcement of some valid debts as well as invalid ones and may trigger offsetting creditor expenditures | Adminization: Gatekeeping Consumer Contracts | 162 | machine-drafted-source-checked |
| ssrn-3015569-p33 | Making judges investigate consumer claims more actively does not solve the scale problem and may introduce confirmation bias into an institution trained for party presentation | Adminization: Gatekeeping Consumer Contracts | 163-164 | machine-drafted-source-checked |
| ssrn-3015569-p34 | Uniform documentation and procedural requirements impose costs on every claim while still relying on creditors whose incentives caused the information problem | Adminization: Gatekeeping Consumer Contracts | 164-167 | machine-drafted-source-checked |
| ssrn-3015569-p35 | Arbitration cannot supply systemic protection when creditors select it and consumers remain absent, while aggregate defense is promising but limited by class-certification doctrine | Adminization: Gatekeeping Consumer Contracts | 167-169 | machine-drafted-source-checked |
| ssrn-3015569-p36 | Successfully inducing millions of consumers to litigate could overwhelm courts and displace collection into more abusive or exclusionary channels | Adminization: Gatekeeping Consumer Contracts | 169-171 | machine-drafted-source-checked |
| ssrn-3015569-p37 | Existing federal and state consumer-protection institutions possess substantial investigatory and enforcement tools that could support an Adminization regime | Adminization: Gatekeeping Consumer Contracts | 171-173 | machine-drafted-source-checked |
| ssrn-3015569-p38 | A coalition of consumers and compliant creditors may support Adminization because screening protects debtors while streamlining legitimate collection and disciplining abusive competitors | Adminization: Gatekeeping Consumer Contracts | 173-174 | machine-drafted-source-checked |
| ssrn-3015569-p39 | Regulatory capture is a genuine risk but not a decisive objection because courts also favor repeat players and an additional agency layer diversifies failure modes | Adminization: Gatekeeping Consumer Contracts | 174-175 | machine-drafted-source-checked |
| ssrn-3015569-p40 | A low audit rate could make meaningful administrative oversight far cheaper than universal representation | Adminization: Gatekeeping Consumer Contracts | 175-177 | machine-drafted-source-checked |
| ssrn-3015569-p41 | Public funding of Adminization reallocates an existing subsidy rather than uniquely socializing a system that is otherwise privately financed | Adminization: Gatekeeping Consumer Contracts | 176-177 | machine-drafted-source-checked |
| ssrn-3015569-p42 | Adminization is a lean due-process overlay for mass asymmetric litigation and can extend beyond debt to other domains where private nonparticipation defeats oversight | Adminization: Gatekeeping Consumer Contracts | 177-178 | machine-drafted-source-checked |
| ssrn-2835482-p01 | Apology safe-harbor laws are a form of tort reform because they reduce victims' recovery and shield commercial injurers from liability while avoiding the conventional tort-reform label | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 2-5 | machine-drafted-source-checked |
| ssrn-2835482-p02 | Apologies can dilute tort deterrence when commercial actors anticipate that apologizing after an accident will reduce settlement payments and other liability costs | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 3-5 | machine-drafted-source-checked |
| ssrn-2835482-p03 | Professionalization and institutionalization let commercial actors produce apologies at low cost and amplify their ability to reduce claims and payouts | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 3-5 | machine-drafted-source-checked |
| ssrn-2835482-p04 | Further expansion of apology laws should pause until their safety, compensation, and deterrence effects are evaluated transparently as tort reform | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 4-5 | machine-drafted-source-checked |
| ssrn-2835482-p05 | The Legal Apologists treat apology as a relationship-repairing and dispute-resolving practice that law should facilitate rather than inhibit | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 6-10 | machine-drafted-source-checked |
| ssrn-2835482-p06 | Apology scholarship recognizes sincerity, coercion, commodification, and undercompensation problems but has generally treated them as manageable within an interpersonal frame | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 11-12 | machine-drafted-source-checked |
| ssrn-2835482-p07 | Tort reform is centrally a project to reduce tort law's deterrent and compensatory force, not merely a neutral effort to lower administrative costs | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 12-15 | machine-drafted-source-checked |
| ssrn-2835482-p08 | Political, interest-group, and constitutional resistance to conventional damages restrictions created incentives for tort reformers to pursue apology protection as an alternative venue | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 14-16 | machine-drafted-source-checked |
| ssrn-2835482-p09 | The same commercial interests that support conventional tort reform promoted apology laws by adopting the moral and relational rhetoric developed by apology scholars | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 15-17 | machine-drafted-source-checked |
| ssrn-2835482-p10 | The apology-reform agenda extends from evidentiary safe harbors to mediation, settlement, early criminal process, judicial leniency, and compelled apology | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 16-18 | machine-drafted-source-checked |
| ssrn-2835482-p11 | Apology laws spread rapidly across partisan lines because they were presented as neutral dispute-resolution reforms rather than measures affecting liability and deterrence | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 18-20 | machine-drafted-source-checked |
| ssrn-2835482-p12 | Apology-law advocacy framed the reform as costless communication improvement while leaving its effects on accident incentives, harms, and victim recovery largely unexamined | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 19-20 | machine-drafted-source-checked |
| ssrn-2835482-p13 | Apology scholarship overemphasizes ex-post litigation savings and neglects tort law's primary ex-ante function of influencing precautions and risky activity | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 20-22 | machine-drafted-source-checked |
| ssrn-2835482-p14 | Victims' willingness to accept lower payments after an apology does not by itself prove that the apology therapeutically compensates for the foregone money | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 22-25 | machine-drafted-source-checked |
| ssrn-2835482-p15 | Commercial apologies can reduce claims by manipulating victims and activating social norms that portray continued litigation after an apology as vengeful or ungrateful | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 22-23 | machine-drafted-source-checked |
| ssrn-2835482-p16 | Victims may misread a corporate apology by importing interpersonal signals of guilt, character, and reduced recidivism into an organization with dispersed responsibility | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 23-24 | machine-drafted-source-checked |
| ssrn-2835482-p17 | Very large settlement concessions strain the claim that apology substitutes for compensation, and the victim's willingness to repeat the harmful transaction is a useful counterfactual check | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 24-25 | machine-drafted-source-checked |
| ssrn-2835482-p18 | The private benefit of apology differs from its social benefit because reduced liability is a transfer while avoided litigation costs are real resource savings | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 25-27 | machine-drafted-source-checked |
| ssrn-2835482-p19 | Injurers may apologize either more or less often than is socially optimal depending on apology cost, liability reduction, and the parties' combined litigation savings | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 26-27 | machine-drafted-source-checked |
| ssrn-2835482-p20 | When apology is privately worthwhile because it reduces expected liability, the injurer takes less care and may undertake socially undesirable risky activity | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 27-30 | machine-drafted-source-checked |
| ssrn-2835482-p21 | Law should not minimize the cost of apology unconditionally; the optimal legal treatment preserves enough cost to prevent liability-reducing apologies from overwhelming genuine litigation savings | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 29-30 | machine-drafted-source-checked |
| ssrn-2835482-p22 | Corporations can delegate apology to their most effective representative or an outside specialist, making the organizational apology as persuasive as the best available speaker | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 30-32 | machine-drafted-source-checked |
| ssrn-2835482-p23 | Commercial actors can convert research on sincerity cues, language, timing, and speaker identity into trained apology routines that improve effect and lower cost | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 32-33 | machine-drafted-source-checked |
| ssrn-2835482-p24 | Diffused organizational responsibility lowers the psychological cost of apology because the speaker can condemn a past wrong without admitting personal fault | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 33-34 | machine-drafted-source-checked |
| ssrn-2835482-p25 | A cultural shift transformed commercial apology from a stigmatizing admission into an expected sign of leadership that can improve consumer relationships | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 34-36 | machine-drafted-source-checked |
| ssrn-2835482-p26 | Commercial apologies can remain highly effective even when recipients know an employee is paid to deliver a low-cost, strategic communication | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 36-37 | machine-drafted-source-checked |
| ssrn-2835482-p27 | Institutional disclosure-and-apology programs are associated with substantial reductions in claims, lawsuits, legal costs, and compensation payments | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 36-38 | machine-drafted-source-checked |
| ssrn-2835482-p28 | State-law studies associate apology protection with lower malpractice payments, while commercial studies find effects on settlement, review retraction, purchasing, and reputation | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 38-39 | machine-drafted-source-checked |
| ssrn-2835482-p29 | In at least one field experiment, an apology induced nearly twice the forgiveness rate of monetary compensation, and doubling compensation produced only a small additional effect | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 38-39 | machine-drafted-source-checked |
| ssrn-2835482-p30 | The article predicts that apology laws increase accident frequency or severity by lowering expected liability, but the available claims data are inconclusive about that safety outcome | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 40-42 | machine-drafted-source-checked |
| ssrn-2835482-p31 | Apology-law advocacy contains a tension because it portrays unprotected apologies as increasing litigation through admissions while praising apologies for decreasing litigation through settlement | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 42-43 | machine-drafted-source-checked |
| ssrn-2835482-p32 | Protecting apologies may not materially increase error disclosure, and disclosure without liability does not ensure that commercial actors will pay the cost of preventing recurrence | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 43-45 | machine-drafted-source-checked |
| ssrn-2835482-p33 | The premise that commercial actors suffer from an apology deficit is unproven and economically doubtful because profit-seeking firms already have incentives to produce value-creating apologies | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 45-46 | machine-drafted-source-checked |
| ssrn-2835482-p34 | Apology laws should be debated transparently as liability-reducing tort reform, and further safe-harbor expansion should pause while safety effects remain unresolved | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 46-47 | machine-drafted-source-checked |
| ssrn-2835482-p35 | Courts should presume against leniency for apologizing commercial actors, and policymakers should fund direct research on accidents rather than infer safety from litigation outcomes | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 47-48 | machine-drafted-source-checked |
| ssrn-2835482-p36 | Formal Proposition 1 proves that private and social apology incentives diverge, allowing both socially excessive apologies and socially valuable apologies that injurers decline to make | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 50-52 | machine-drafted-source-checked |
| ssrn-2835482-p37 | Formal Proposition 2 shows that a privately beneficial apology lowers precautions below the social optimum and that more favorable legal treatment widens the deterrence gap | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 52 | machine-drafted-source-checked |
| ssrn-2835482-p38 | Formal Proposition 3 limits the case for preferential treatment to apologies that are otherwise underproduced and whose administrative savings exceed the added harm from weaker precautions | Tort Reform Through the Backdoor: A Critique of Law and Apologies | 53 | machine-drafted-source-checked |
| ssrn-2820650-p01 | A debtor's wealth mutes the incentive to shield assets, so low-wealth debtors can present a serious collection risk even when formally solvent | Shielding of Assets and Lending Contracts | 1-3 | machine-drafted-source-checked |
| ssrn-2820650-p02 | The amount a debtor must shield is determined primarily by the gap between wealth and debt because creditors have recourse to all unshielded assets | Shielding of Assets and Lending Contracts | 2-3 | machine-drafted-source-checked |
| ssrn-2820650-p03 | Conditional on choosing to shield, a debtor's optimal shielding amount follows from wealth and debt rather than from the level of shielding cost | Shielding of Assets and Lending Contracts | 2-3 | machine-drafted-source-checked |
| ssrn-2820650-p04 | Expected post-investment shielding can ration otherwise valuable credit and can make a risky high-upside project more financeable than a safer project with the same expected return | Shielding of Assets and Lending Contracts | 3-4 | machine-drafted-source-checked |
| ssrn-2820650-p05 | A debtor would benefit from a credible commitment not to shield, but a promise backed only by monetary liability is least credible in the states where it is needed | Shielding of Assets and Lending Contracts | 3-4 | machine-drafted-source-checked |
| ssrn-2820650-p06 | The asset-shielding framework extends beyond lending to any civil liability enforced principally against a defendant's reachable assets | Shielding of Assets and Lending Contracts | 4-5 | machine-drafted-source-checked |
| ssrn-2820650-p07 | Asset shielding encompasses consumption, concealment, transfers, legal exemptions, and obstruction, each carrying direct, legal, reputational, or opportunity costs | Shielding of Assets and Lending Contracts | 5-7 | machine-drafted-source-checked |
| ssrn-2820650-p08 | The baseline model locates shielding after investment returns are realized but before repayment and collection, making it an ex-post moral-hazard choice | Shielding of Assets and Lending Contracts | 7-8 | machine-drafted-source-checked |
| ssrn-2820650-p09 | In the baseline model, any rational shielding is complete shielding rather than a partial reduction of exposed assets | Shielding of Assets and Lending Contracts | 8-9 | machine-drafted-source-checked |
| ssrn-2820650-p10 | A unique wealth threshold divides full shielding and nonpayment below the threshold from no shielding and full repayment above it | Shielding of Assets and Lending Contracts | 9-11 | machine-drafted-source-checked |
| ssrn-2820650-p11 | Asset shielding is socially wasteful in the baseline model because it consumes resources merely to reallocate value away from the creditor | Shielding of Assets and Lending Contracts | 10-11 | machine-drafted-source-checked |
| ssrn-2820650-p12 | Reducing the effectiveness of shielding lowers the wealth threshold for repayment and can deter evasion by leaving enough property exposed for collection | Shielding of Assets and Lending Contracts | 11-12 | machine-drafted-source-checked |
| ssrn-2820650-p13 | With a constant marginal shielding cost, an equity-financed entrepreneur does not shield when the investor's equity fraction is below that cost and always shields when it exceeds the cost | Shielding of Assets and Lending Contracts | 12 | machine-drafted-source-checked |
| ssrn-2820650-p14 | Competitive lending can survive shielding risk when the project's successful return is high enough to move the borrower above the no-shielding wealth threshold | Shielding of Assets and Lending Contracts | 13-15 | machine-drafted-source-checked |
| ssrn-2820650-p15 | Shielding can produce credit rationing because a higher interest rate may induce more nonpayment and thereby reduce rather than increase the lender's expected return | Shielding of Assets and Lending Contracts | 14-15 | machine-drafted-source-checked |
| ssrn-2820650-p16 | A lender may prefer a risky project to a safer project of equal expected value when the risky project's upside induces repayment but the safe return remains below the shielding threshold | Shielding of Assets and Lending Contracts | 15 | machine-drafted-source-checked |
| ssrn-2820650-p17 | A credible restriction on future shielding can reduce borrowing costs and prevent credit denial, but an added monetary penalty is vulnerable to the same collection problem as the debt | Shielding of Assets and Lending Contracts | 15-16 | machine-drafted-source-checked |
| ssrn-2820650-p18 | Equity can dominate debt in the stylized model by reducing the entrepreneur's gain from shielding, although parties may have independent reasons to prefer debt | Shielding of Assets and Lending Contracts | 16 | machine-drafted-source-checked |
| ssrn-2820650-p19 | A security interest mitigates shielding only insofar as it raises the cost or reduces the feasibility of moving collateral beyond the lender's reach | Shielding of Assets and Lending Contracts | 16-17 | machine-drafted-source-checked |
| ssrn-2820650-p20 | A borrower's unpledged wealth functions as an implicit nonpossessory equity cushion because shielding it together with collateral increases the cost of evasion | Shielding of Assets and Lending Contracts | 17 | machine-drafted-source-checked |
| ssrn-2820650-p21 | Ex-post debt relief can preserve value by reducing the claim to an amount the borrower prefers to pay rather than incur shielding costs, effectively creating a debt-equity hybrid | Shielding of Assets and Lending Contracts | 17-18 | machine-drafted-source-checked |
| ssrn-2820650-p22 | Collection costs can either substitute for or complement shielding because they reduce what must be hidden but may also change the marginal payoff from leaving assets exposed | Shielding of Assets and Lending Contracts | 18-19 | machine-drafted-source-checked |
| ssrn-2820650-p23 | When exposed assets are collected only probabilistically, shielding remains attractive when its marginal cost is below the expected rate of creditor recovery, while de-shielding operates like an added shielding cost | Shielding of Assets and Lending Contracts | 19 | machine-drafted-source-checked |
| ssrn-2820650-p24 | Allowing the borrower to shield loan proceeds before investment does not overturn the baseline result when investment offers a higher expected return than immediate diversion | Shielding of Assets and Lending Contracts | 19 | machine-drafted-source-checked |
| ssrn-2820650-p25 | Asset-based enforcement can create a regressive credit constraint because lower-wealth borrowers are more tempted to shield and may therefore pay more or lose access despite solvency | Shielding of Assets and Lending Contracts | 19-20 | machine-drafted-source-checked |
| ssrn-2820650-p26 | Policy can deter shielding directly by increasing its expected cost, improving reversal and tracing, strengthening sanctions, and narrowing loopholes or exemptions | Shielding of Assets and Lending Contracts | 20 | machine-drafted-source-checked |
| ssrn-2820650-p27 | Insurance mandates and vicarious liability reduce shielding risk only when the third party has a monitoring or control advantage over the judgment-proof actor | Shielding of Assets and Lending Contracts | 20 | machine-drafted-source-checked |
| ssrn-2820650-p28 | Minimum capitalization and lower or installment-based monetary sanctions can reduce shielding by keeping exposed assets above the collection threshold or debt below the evasion threshold | Shielding of Assets and Lending Contracts | 20 | machine-drafted-source-checked |
| ssrn-1641438-p01 | Contract-remedy theory depends on contestable empirical assumptions about how litigants, lawyers, and courts actually choose, trade, and implement specific performance | Contract Remedies in Action: Specific Performance | 370-374 | machine-drafted-source-checked |
| ssrn-1641438-p02 | Specific-performance litigation must be analyzed as a sequence of remedy choice, possible post-judgment trade, and practical execution, with distinct failures at each stage | Contract Remedies in Action: Specific Performance | 372-374 | machine-drafted-source-checked |
| ssrn-1641438-p03 | Rights-based arguments for specific performance commonly assume that a decree yields performance, protects the promisee better than damages, and is used to obtain what was promised | Contract Remedies in Action: Specific Performance | 375-378 | machine-drafted-source-checked |
| ssrn-1641438-p04 | Economic accounts of specific performance depend on low-cost renegotiation, strong enforcement value, and an underexamined assumption that giving promisees a remedial choice has little strategic effect | Contract Remedies in Action: Specific Performance | 379-381 | machine-drafted-source-checked |
| ssrn-1641438-p05 | Israel offers a comparative setting close enough to American contract law for useful inference but with specific performance unambiguously treated as the default and morally preferred remedy | Contract Remedies in Action: Specific Performance | 381-384 | machine-drafted-source-checked |
| ssrn-1641438-p06 | Maximum-variation interviews can identify mechanisms in experienced law but cannot estimate how frequently those mechanisms occur | Contract Remedies in Action: Specific Performance | 384-386 | machine-drafted-source-checked |
| ssrn-1641438-p07 | Many plaintiffs choose expectation damages even when specific performance is legally available and theoretically more valuable | Contract Remedies in Action: Specific Performance | 386-388 | machine-drafted-source-checked |
| ssrn-1641438-p08 | Weak practical enforceability can make a specific-performance judgment a worse bargaining chip than an expectation-damages award | Contract Remedies in Action: Specific Performance | 388 | machine-drafted-source-checked |
| ssrn-1641438-p09 | Attorney compensation and collection rules can bias remedial advice toward damages even when specific performance better serves the client | Contract Remedies in Action: Specific Performance | 388-389 | machine-drafted-source-checked |
| ssrn-1641438-p10 | Long litigation makes specific performance expose plaintiffs to changes in taste and deteriorating relationships that damages avoid | Contract Remedies in Action: Specific Performance | 389-390 | machine-drafted-source-checked |
| ssrn-1641438-p11 | Choosing specific performance can signal good faith and case merit to a court, compelling plaintiffs to seek it even when they prefer money | Contract Remedies in Action: Specific Performance | 390-391 | machine-drafted-source-checked |
| ssrn-1641438-p12 | Specific-performance claims can reduce adjudication cost and delay by postponing or avoiding judicial quantification of damages | Contract Remedies in Action: Specific Performance | 391-392 | machine-drafted-source-checked |
| ssrn-1641438-p13 | Some plaintiffs seek specific performance in order to sell the resulting entitlement after judgment rather than to compel performance | Contract Remedies in Action: Specific Performance | 392 | machine-drafted-source-checked |
| ssrn-1641438-p14 | Post-judgment renegotiation sometimes succeeds, but potential gains from trade do not ensure that parties will even try to bargain | Contract Remedies in Action: Specific Performance | 392-394 | machine-drafted-source-checked |
| ssrn-1641438-p15 | Litigation-induced animosity can both obstruct renegotiation through mistrust and encourage it by making continued interaction costly | Contract Remedies in Action: Specific Performance | 393-394 | machine-drafted-source-checked |
| ssrn-1641438-p16 | A court victory can endow a plaintiff psychologically with the promised object and raise the price required to trade the decree | Contract Remedies in Action: Specific Performance | 394-395 | machine-drafted-source-checked |
| ssrn-1641438-p17 | Individual plaintiffs often resist commodifying specific-performance judgments, while corporate clients more readily translate them into money | Contract Remedies in Action: Specific Performance | 395-396 | machine-drafted-source-checked |
| ssrn-1641438-p18 | Specific-performance decrees are frequently costly, incomplete, or ineffective and can undercompensate promisees even relative to damages | Contract Remedies in Action: Specific Performance | 396-398 | machine-drafted-source-checked |
| ssrn-1641438-p19 | Remedy comparison must recognize that ordinary contracts are sometimes underperformed and expectation damages can overcompensate relative to the degraded performance a resistant promisor would actually supply | Contract Remedies in Action: Specific Performance | 397-398 | machine-drafted-source-checked |
| ssrn-1641438-p20 | Animosity does not inevitably prevent adequate performance, especially when ordinary business incentives and clear obligations remain operative | Contract Remedies in Action: Specific Performance | 398-399 | machine-drafted-source-checked |
| ssrn-1641438-p21 | Specific performance works best when courts can verify a finished product against clear standards, making uniqueness both a reason to grant the remedy and a reason it may fail | Contract Remedies in Action: Specific Performance | 399-400 | machine-drafted-source-checked |
| ssrn-1641438-p22 | A receiver can sometimes enforce technically complex performance by directing the promisor's organization and using its embedded expertise | Contract Remedies in Action: Specific Performance | 399-400 | machine-drafted-source-checked |
| ssrn-1641438-p23 | Specific-performance plaintiffs must actively coordinate, monitor, and finance enforcement after judgment, although doctrine tends to count public supervision costs instead | Contract Remedies in Action: Specific Performance | 400-401 | machine-drafted-source-checked |
| ssrn-1641438-p24 | Specific performance is not a reliable answer to judgment-proof defendants because contempt is usually enforced financially and courts resist incarceration for contractual noncompliance | Contract Remedies in Action: Specific Performance | 401 | machine-drafted-source-checked |
| ssrn-1641438-p25 | Reputational capital can make a decree enforceable even when it was insufficient to prevent the initial breach, so reputation operates in contingent and stage-specific ways | Contract Remedies in Action: Specific Performance | 401-402 | machine-drafted-source-checked |
| ssrn-1641438-p26 | Social pressure can initially support compliance and later legitimate defiance as group composition and norms change | Contract Remedies in Action: Specific Performance | 402-403 | machine-drafted-source-checked |
| ssrn-1641438-p27 | Rights-based theories must confront frequent instrumental uses of specific performance rather than dismiss them as immoral or marginal by-products | Contract Remedies in Action: Specific Performance | 403-405 | machine-drafted-source-checked |
| ssrn-1641438-p28 | Corrective-justice theories cannot assume specific performance compensates, and giving the promisee a choice may itself cause signaling and agency harms | Contract Remedies in Action: Specific Performance | 404-406 | machine-drafted-source-checked |
| ssrn-1641438-p29 | Weak enforcement means specific performance need not deliver performance-level value, strong deterrence, or insurance for subjective valuation | Contract Remedies in Action: Specific Performance | 406-407 | machine-drafted-source-checked |
| ssrn-1641438-p30 | Behavioral reluctance to commodify judgments can defeat post-judgment trade even when conventional transaction costs are low | Contract Remedies in Action: Specific Performance | 407 | machine-drafted-source-checked |
| ssrn-1641438-p31 | Economic analysis should model opposing strategic effects of remedial choice, qualify flood-of-litigation fears, and target specific performance to verifiable domains | Contract Remedies in Action: Specific Performance | 407-408 | machine-drafted-source-checked |
| ssrn-1641438-p32 | Courts should strengthen implementation through calibrated financial sanctions, receivers, cost shifting, deficiency awards, and inexpensive quality-review mechanisms | Contract Remedies in Action: Specific Performance | 408-409 | machine-drafted-source-checked |
| ssrn-1641438-p33 | Courts should assess specific performance by verifiability and actual enforceability rather than presume that unique goods or uncollectible damages make it adequate | Contract Remedies in Action: Specific Performance | 408-409 | machine-drafted-source-checked |
| ssrn-1641438-p34 | Remedy administration should account for distorted plaintiff choice, preference change during delay, and lawyers' conflicts of interest | Contract Remedies in Action: Specific Performance | 409-410 | machine-drafted-source-checked |
| ssrn-1641438-p35 | Contract-remedy theory needs contextual qualitative evidence about internal motivations and implementation, followed by broader comparative samples before definitive prescription | Contract Remedies in Action: Specific Performance | 410 | machine-drafted-source-checked |