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Policy & Regulation3 min read

Anthropic may draft AI safety bill that could block models if over 50 people could die

Anthropic has drafted a bill, Politico reported, that would let the government block an AI model’s release when a “foreseeable, imminent risk” could cause over 50 people to die or over a billion dollars in property damage. The bill says the catastrophic risk must stem from the creation or release of a biological weapon, the model evading its developer’s controls, or a cyberattack.

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Key points

  • Anthropic’s draft bill would block a model if over 50 people could die or over a billion dollars in damage.
  • Independent evaluators, registered with the U.S. Commerce Department, would have 72 hours to notify a judge to halt a release.
  • Anthropic says the proposal follows its Advanced AI Framework, advocated since June; Nvidia’s CEO has opposed new AI laws.

The proposal calls for “independent evaluators” registered with the U.S. Commerce Department to assess a model’s disaster potential, possibly paid by the labs so long as payment is not tied to the evaluation’s outcome. If evaluators determine an imminent catastrophic risk, they would have 72 hours to contact the Commerce Department, which must then request a D.C. judge to halt the model’s distribution; no federal agency could act alone. Anthropic confirmed the draft to Politico, saying it reflects its Advanced AI Framework, advocated since June. The article notes DeepMind’s Demis Hassabis has suggested a FINRA‑style regulator, while Nvidia CEO Jensen Huang recently argued the industry does not need new laws.

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Full story from TechCrunch AI · by Lucas RopekOpen source ↗

Anthropic pitches AI safety bill that may block a model if 50+ people could be killed

TechCrunch AI · 20 October 2026

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This text was published by TechCrunch AI and written by Lucas Ropek. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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