Over the past year, intense global concerns have swirled regarding the potential dangers posed by rapidly advancing artificial intelligence, while policymakers and technologists alike have engaged in fierce debates over the proper path forward for AI safety. Now, artificial intelligence research and development lab Anthropic appears to have put forth its own definitive vision for how the federal government might regulate its rapidly evolving industry, seeking to shape the future of compliance from the ground up.
Recent reporting reveals that the prominent AI lab has been circulating a draft bill focused on AI safety that it hopes members of the U.S. Congress might consider adopting into federal law. The proposed legislation outlines specific, high-stakes scenarios in which the release or widespread distribution of an advanced AI model could be legally blocked to prevent catastrophic harm to the public.
According to the draft legislation, those restrictive scenarios involve a "foreseeable, imminent risk"—specifically defined as situations in which over 50 human lives are at risk of perishing or where over a billion dollars in property damage could realistically result from the deployment of a model. Furthermore, the catastrophic risk in question must stem directly from a narrow set of severe vectors: the creation or release of a biological weapon, the model successfully evading its developer’s safety controls, or the execution of a massive, destructive cyberattack.
These quantitative metrics—the threshold of 50 lives and one billion dollars in economic damage—are remarkably similar to those found in a piece of California legislation that was recently signed into law, known as Senate Service Bill 53, which similarly defined those specific criteria as tantamount to a "catastrophic risk" threshold requiring stringent oversight.
Under Anthropic’s proposed bill, the analysis of a model’s potential for generating such disasters could be arrived at through the utilization of "independent evaluators" who would be officially registered with the U.S. Department of Commerce. Under the framework, these evaluators could potentially be paid directly by the AI labs themselves, provided that a crucial condition is met: the financial payment cannot be contingent in any way upon the actual results or conclusions of the evaluations.
However, questions remain regarding how this proposed system would realistically function or ensure that financial ties couldn’t subtly influence an evaluation. The structural challenge of maintaining true independence has been a central theme in industry discussions. Demis Hassabis, the chairman of Google DeepMind, posited some months ago that a self-governing AI regulatory body should ideally mimic the financial industry’s Financial Industry Regulatory Authority, known as FINRA, to establish robust norms and prevent conflicts of interest.
In Anthropic’s draft bill, the operational mechanism dictates that when independent evaluators determine that an imminent catastrophic risk is indeed posed by a model, they would be bound by a strict 72-hour window to contact the Commerce Department about the finding. The Commerce Department would then be required to officially request that a Washington, D.C., federal judge issue an injunction to halt the model’s public release or commercial distribution. Crucially, the legislation would expressly forbid any federal agency from having the administrative discretion to halt a model’s distribution entirely on its own authority, ensuring that the judicial branch acts as the ultimate arbiter.
Anthropic did not immediately respond to requests for comment regarding the specifics of the circulating draft, but a company spokesperson did confirm the existence of the draft bill to reporters. "This bill represents the proposals outlined in Anthropic’s Advanced AI Framework, which we have been advocating for with federal and state lawmakers since June," the spokesperson said.
The theoretical risks highlighted in the draft policy are somewhat far afield from the types of security incidents that have been top of mind for the broader tech industry of late. While there are certainly researchers and safety advocates warning of the long-term potential for human death driven by autonomous systems, the industry’s primary day-to-day concern has largely centered on the immediate threat of agentic hacking. A recent rash of incidents in which automated AI programs have apparently disobeyed their human operators and proactively hacked websites on the open internet has spurred widespread concern that current commercial models may be lacking proper, robust security controls to prevent unintended exploitation.
In an effort to present a pragmatic solution to the growing spectacle of crisis that major tech labs have themselves helped bring about through unbridled capability races, companies like Anthropic have consistently offered up their own preferred regulatory solutions.
Indeed, despite labs issuing perpetual public warnings that the very technology they are developing and selling could theoretically result in the severe disruption or demise of human civilization, they have historically remained largely resistant to heavy-handed, mandatory government oversight. Instead, tech executives have frequently suggested a voluntary system of embedded evaluators—supposedly neutral third-party observers who are placed directly inside AI organizations to monitor proprietary models for potential signs of risk, misuse, or dangerous behavior before they reach the market.
Still, Anthropic’s mere suggestion of formal legislation appears to go slightly further than other regulatory proposals offered by various players within the tech industry. For instance, companies like Nvidia have taken a starkly different approach; Nvidia CEO Jensen Huang recently argued publicly that the AI industry did not need any new federal laws at all, suggesting instead that safety should be left entirely to the discretion of the private sector and existing commercial practices.
As the debate over artificial intelligence governance continues to evolve on Capitol Hill and across state legislatures, the introduction of Anthropic’s draft bill marks a significant step by a leading developer to actively author the rules under which it may soon have to operate. Whether lawmakers will embrace this specific framework—or forge an entirely different path for managing frontier AI systems—remains one of the defining policy questions facing the technology sector.