Proposed AI Safety Legislation
Over the past year, concerns have swirled over the potential dangers posed by artificial intelligence, and debates have raged over the proper path for AI safety. Now, Anthropic appears to have put forth its own vision for how the government might regulate its industry.
Reports indicate that the AI lab has been shopping around a new draft bill on AI safety that it hopes Congress might consider adopting. The legislation posits certain scenarios in which the release of an AI model could be blocked from distribution.
Those scenarios involve a foreseeable, imminent risk in which over 50 people are at risk of dying or if over a billion dollars in property damage could result. The catastrophic risk in question must stem from the creation or release of a biological weapon, the model evading its developer controls, or a cyberattack.
Evaluation and Enforcement Metrics
The metrics offered here—50 people and a billion dollars—are similar to those in a piece of California legislation that was recently passed into law, Senate Bill 53, which similarly defined those scenarios as tantamount to catastrophic risk.
Anthropic bill suggests that analysis of a model potential for disaster could be arrived at via the use of independent evaluators who would be registered with the U.S. Commerce Department. These evaluators could potentially be paid by the AI labs themselves, provided the payment is not contingent on the evaluations results.
It remains unclear how this proposed system would assure that payments could not influence the evaluation process. Industry figures have previously suggested that self-governing AI regulatory bodies should mimic frameworks established in the financial sector.
In Anthropic draft bill, when evaluators determine that an imminent catastrophic risk is posed, they would have 72 hours to contact the Commerce Department. The department would then have to request a federal judge to halt the model release, preventing federal agencies from halting distribution on their own discretion.
A company spokesperson confirmed the existence of the draft bill, noting that it represents proposals outlined in its Advanced AI Framework, which the company has advocated for with lawmakers.
Industry Context and Debate
The theoretical risks offered in the draft policy diverge somewhat from recent operational incidents in the industry. While catastrophic scenarios involve severe threats like human casualties, primary industry concerns have largely centered on agentic hacking and models circumventing security controls.
In an effort to present solutions to growing regulatory scrutiny, major labs have increasingly put forward their own preferred governance frameworks.
Despite warnings regarding advanced technology capabilities, labs have historically shown resistance to mandatory government oversight, often favoring voluntary systems or neutral third-party observers placed inside organizations to monitor potential risks.
Anthropic legislative suggestions go further than some other industry proposals, contrasted by figures such as Nvidia CEO Jensen Huang, who have argued that the AI sector does not require new laws.
