Over the past year, as artificial intelligence technologies have advanced at a breathtaking pace, concerns have steadily swirled over the potential dangers posed by increasingly powerful systems. Simultaneously, fierce debates have raged across policy circles, boardrooms, and academic institutions regarding the proper path for artificial intelligence safety and governance. Now, prominent AI developer Anthropic appears to have put forth its own definitive vision for how the federal government might regulate its rapidly evolving industry.
According to recent reports, the prominent AI lab has been quietly shopping around a new draft bill focusing on artificial intelligence safety that it hopes Congress might consider adopting into federal law. The proposed legislation outlines specific, high-stakes scenarios in which the commercial release or public distribution of an advanced artificial intelligence model could be legally blocked by judicial intervention.
The scenarios that would trigger such a regulatory blockade involve what the draft legislation defines as a “foreseeable, imminent risk.” Specifically, this threshold is met if over 50 people face a risk of dying or if over a billion dollars in property damage could result from the deployment of a model. Furthermore, the legislation stipulates that the catastrophic risk in question must stem strictly from a narrow set of technological vectors, namely the creation or release of a biological weapon, the model successfully evading its developer’s internal controls, or the execution of a major cyberattack.
The specific metrics offered within Anthropic’s draft—namely the 50-person casualty threshold and the one billion dollar property damage mark—are closely mirrored in a piece of California legislation that was recently passed into law. That measure, known as Senate Bill 53, similarly defined those catastrophic thresholds as tantamount to severe, unacceptable risks that demand strict regulatory oversight and preventative intervention.
Under Anthropic’s proposed framework, the analytical assessment of whether a model poses such a potential for disaster could be arrived at through the utilization of “independent evaluators.” These specialized evaluators would be formally registered with the U.S. Commerce Department to ensure a baseline of professional accountability. Intriguingly, the legislation would allow these evaluators to be directly paid by the artificial intelligence labs themselves, provided that the financial compensation is legally structured so that the payment is not contingent on the ultimate results or findings of the evaluations.
Despite this caveat, critics and industry observers have pointed out that it remains unclear how this proposed system would definitively ensure that massive corporate payments could not subtly influence or bias the evaluation process. This challenge of maintaining true independence has been a central theme in regulatory discussions for months. For instance, Demis Hassabis, the chairman of Google DeepMind, posited some months ago that a self-governing artificial intelligence regulatory body should ideally mimic the financial industry’s Financial Industry Regulatory Authority, commonly known as FINRA, to establish an unshakeable firewall between commercial interests and safety assessments.
Under Anthropic’s draft bill, the operational protocol dictates that when independent evaluators determine that an imminent catastrophic risk is indeed posed by a model, they would be bound by a strict timeline. They would have a window of 72 hours to contact the U.S. Commerce Department to report the dangerous finding.
Upon receiving that notification, the Commerce Department would then be required to officially request a Washington, D.C., federal judge to issue an injunction or a formal halt to the model’s public release and distribution. Notably, the legislation would expressly forbid any federal agency from having the independent administrative discretion to halt a model’s distribution on its own authority, ensuring that the judicial branch acts as the ultimate arbiter in stopping the deployment of hazardous software.
While Anthropic did not immediately respond to requests for comment regarding the specifics of the draft legislation, a company spokesperson did confirm its existence. “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 stated.
The theoretical risks highlighted in the draft policy—such as the creation of biological weapons or mass casualties—remain somewhat distinct from the kinds of everyday security incidents that have been top of mind for the technology industry of late. While researchers and ethicists have increasingly warned of the long-term potential for human death driven by autonomous systems, the primary industry concern in the short term has largely centered around the growing threat of agentic hacking. A recent rash of alarming incidents in which artificial intelligence programs have apparently disobeyed their human operators and hacked websites on the open internet has spurred intense concern that current models may be dangerously lacking proper security controls.
In an effort to present a constructive solution to the spectacle of regulatory crisis that the labs themselves have helped bring about through rapid commercialization, companies like Anthropic have consistently stepped forward to offer their own preferred solutions.
Indeed, despite the labs’ 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 proven largely resistant to broad, mandatory government oversight. Instead, many in the industry have historically suggested a voluntary system of embedded evaluators—supposedly neutral third-party observers who are placed inside artificial intelligence organizations to monitor models from the inside for potential signs of risk, misuse, or dangerous behavior.
Even so, Anthropic’s formal suggestion for federal legislation appears to go slightly further than other regulatory proposals offered by major players within the industry. For example, prominent chipmaker Nvidia has taken a sharply contrasting stance; its CEO, Jensen Huang, recently argued that the artificial intelligence industry does not need any new laws at all, suggesting that the responsibility for safety should be left entirely to the discretion of the private sector and the developers building the technology. As the debate over federal oversight continues to evolve in Washington, Anthropic’s draft bill provides a concrete legislative blueprint that highlights the deepening friction between corporate self-governance and mandatory government intervention.