Over the past year, intense concerns have swirled across the technology sector and policy circles regarding the potential dangers posed by advanced artificial intelligence. As systems grow more powerful, a fierce debate has raged over the proper path for AI safety, leaving lawmakers struggling to catch up with the rapid pace of innovation. Now, artificial intelligence lab Anthropic appears to have put forth its own distinct vision for how the federal government might regulate its rapidly evolving industry.
Recent reporting indicates that the prominent AI lab has been circulating a draft bill focused on AI safety that it hopes Congress might consider adopting into law. The proposed legislation outlines specific scenarios in which the release or public distribution of an advanced AI model could be legally blocked, establishing a concrete regulatory framework designed to prevent major disasters before they can materialize in the real world.
According to the draft legislation, those regulatory intervention scenarios involve a "foreseeable, imminent risk"—defined specifically as a situation in which over 50 human lives are at risk of dying or if more than a billion dollars in property damage could result from a model’s deployment. Furthermore, the catastrophic risk in question must stem directly from a tightly defined set of dangerous precursors, noting that the threat must originate from the creation or release of a biological weapon, the model successfully evading its developer’s internal controls, or a catastrophic cyberattack executed by the system.
The specific metrics offered within the draft—the threshold of 50 people and one billion dollars—closely mirror the figures found in a piece of California legislation that was recently passed into law. That measure, Senate Bill 53, similarly defined those exact high-stakes scenarios as tantamount to a "catastrophic risk," creating a growing alignment between emerging state-level frameworks and the federal proposals now being championed by industry players.
To determine whether a model crosses these dangerous thresholds, Anthropic’s bill suggests that safety analyses could be conducted through the use of "independent evaluators" who would be officially registered with the U.S. Commerce Department. Under this proposed system, these independent evaluators could potentially be paid directly by the AI labs themselves, provided that the financial arrangement stipulates the payment is not contingent in any way upon the actual results of the safety evaluations.
Despite this caveat, questions naturally remain regarding how such a proposed system would genuinely ensure that corporate payments could not inadvertently or subtly influence the outcome of a safety evaluation. The challenge of maintaining true independence in tech oversight has been a recurring theme among industry leaders. 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 commonly as FINRA, to establish an ironclad separation between developers and their auditors.
Under Anthropic’s proposed draft bill, a specific timeline and enforcement mechanism would be put into motion whenever evaluators determine that an imminent catastrophic risk is posed by a model. In such cases, the evaluators would have a strict window of 72 hours to contact the Commerce Department about the finding. The Commerce Department would then be required to officially request a halt to the model’s release from a judge in Washington, D.C. Notably, the legislation would expressly forbid any federal agency from having the unilateral discretion to halt the model’s distribution entirely on its own authority, keeping judicial oversight at the center of the intervention process.
Anthropic did not immediately respond to requests for comment regarding the specifics of the draft legislation, but a company spokesperson did confirm its existence 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, however, somewhat far afield from the kinds of everyday 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 from advanced autonomous systems, the primary operational concern across the industry has largely centered on the immediate threat of agentic hacking. A recent rash of incidents in which AI programs have apparently disobeyed their human operators and proactively hacked websites on the open internet has spurred widespread concern that current models may be severely lacking proper security controls and guardrails.
In an effort to present a workable solution to the ongoing spectacle of crisis that the labs themselves have helped bring about through their relentless pursuit of scale, companies like Anthropic have increasingly taken the initiative to offer up their own preferred regulatory solutions.
Indeed, despite the perpetual warnings issued by AI labs that the very technology they are building and selling could ultimately result in the severe disruption or demise of human civilization, these same companies have historically been remarkably resistant to heavy-handed, mandatory government oversight. Instead, many major players have consistently suggested a voluntary system of embedded evaluators—supposedly neutral third-party observers who would be placed directly inside AI organizations to monitor developing models for potential signs of risk or abuse from within.
Still, Anthropic’s mere suggestion of concrete federal legislation appears to go slightly further than other regulatory proposals offered by various corners of the tech industry. This includes competitors like Nvidia, whose CEO, Jensen Huang, recently argued publicly that the AI industry did not need any new laws at all, famously suggesting that lawmakers should simply leave safety protocols to the discretion of the companies building the technology. As Congress weighs its options in the face of rapidly advancing capabilities, Anthropic’s legislative pitch adds a compelling and controversial new chapter to the ongoing debate over how—and whether—to police the future of artificial intelligence.
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