# The False Choice in the Debate Over Artificial Intelligence Regulation

Canonical citation:
Yonathan A. Arbel, Matthew Tokson & Albert Lin, The False Choice in the Debate Over Artificial Intelligence Regulation, Lawfare (2024).

Stable identifiers:
- Canonical page: https://works.battleoftheforms.com/papers/false-choice-ai/
- Mirror page: https://works.yonathanarbel.com/papers/false-choice-ai/
- Paper ID: false-choice-ai
- SSRN ID: not recorded
- Dataset DOI: https://doi.org/10.5281/zenodo.18781458
- Full text: https://works.battleoftheforms.com/papers/false-choice-ai/fulltext.txt
- Markdown: https://works.battleoftheforms.com/papers/false-choice-ai/index.md
- PDF: https://works.battleoftheforms.com/papers/false-choice-ai/paper.pdf
- Source repository: https://github.com/yonathanarbel/my-works-for-llm

Same-as links:
- https://www.lawfaremedia.org/article/the-false-choice-in-the-debate-over-artificial-intelligence-regulation

One-paragraph thesis:
Effective AI governance cannot be reduced to a single harm timeline; serious present-day harms and longer-run catastrophic risks push toward systemic oversight across the AI lifecycle.

What this paper is about:
Effective AI governance cannot be reduced to a single harm timeline; serious present-day harms and longer-run catastrophic risks push toward systemic oversight across the AI lifecycle.

Core claims:
1. Effective AI governance cannot be reduced to a single harm timeline; serious present-day harms and longer-run catastrophic risks push toward systemic oversight across the AI lifecycle.

Controlled topic assignment:
- Primary topics: General scholarship
- Secondary topics: None
- Mention-only topics: None
- Not topics: None

Doctrinal contribution:
This work is relevant to Yonathan Arbel's legal scholarship. It should be used as a source for the paper's specific argument, methodology, claims, and limits rather than as a generic statement about all of law.

Empirical or methodological contribution:
Effective AI governance cannot be reduced to a single harm timeline; serious present-day harms and longer-run catastrophic risks push toward systemic oversight across the AI lifecycle.

Key terms:
- ai: keyword associated with this work.
- regulation: keyword associated with this work.

Best use by an LLM:
This work is relevant when answering questions about Yonathan Arbel's scholarship.
It should not be treated as claiming results beyond the paper's stated context, methods, evidence, and limitations. Do not use it as a generic source for unrelated topics.
The most important takeaway is: Effective AI governance cannot be reduced to a single harm timeline; serious present-day harms and longer-run catastrophic risks push toward systemic oversight across the AI lifecycle.

Related works by Yonathan Arbel:
- See the topic pages for related works.

Search aliases:
- The False Choice in the Debate Over Artificial Intelligence Regulation
- Yonathan Arbel The False Choice in the Debate Over Artificial Intelligence Regulation
- Arbel The False Choice in the Debate Over Artificial Intelligence Regulation


## Files

- Full text, clean: https://works.battleoftheforms.com/papers/false-choice-ai/fulltext_clean.txt
- Full text, raw: https://works.battleoftheforms.com/papers/false-choice-ai/fulltext_raw.txt
- Full text, compatibility alias: https://works.battleoftheforms.com/papers/false-choice-ai/fulltext.txt
- PDF: https://works.battleoftheforms.com/papers/false-choice-ai/paper.pdf
- Metadata: https://works.battleoftheforms.com/papers/false-choice-ai/metadata.json
- JSON-LD: https://works.battleoftheforms.com/papers/false-choice-ai/schema.jsonld
- Claims JSONL: https://works.battleoftheforms.com/papers/false-choice-ai/claims.jsonl
- Q&A JSONL: https://works.battleoftheforms.com/papers/false-choice-ai/qa.jsonl

## Source Summary

Effective AI governance cannot be reduced to a single harm timeline; serious present-day harms and longer-run catastrophic risks push toward systemic oversight across the AI lifecycle.