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Anthropic Urges Congress To Require testing Of frontier AI Models

The AI company released a broader policy proposal as lawmakers debate how the United States should govern increasingly capable AI systems.

 

Anthropic is urging Congress to require independent safety testing for the most capable AI models, arguing that existing policy discussions do not go far enough to address the risks posed by rapidly advancing AI.

The recommendation was included in a broader policy proposal released Tuesday, alongside Anthropic’s essay, The Policy on the AI Exponential. The company said the United States should strengthen oversight of frontier AI systems as model capabilities continue to improve and are more widely deployed.

According to Reuters, Anthropic also urged lawmakers not to preempt state AI laws unless a robust federal system is in place and called for independent evaluations of the most advanced models before deployment.

The proposal arrives as Congress continues to debate federal AI legislation and as policymakers weigh how much responsibility should fall on companies developing the technology.

In its essay, Anthropic argued that AI progress is accelerating and could have major consequences for national security, economic growth, and the labor market. The company said governments should prepare for a future where advanced AI systems play a much larger role in society and the economy.

“We may be entering a period of very rapid change,” Anthropic CEO Dario Amodei wrote in the essay, describing the possibility that AI systems could become significantly more capable over the next several years.

Anthropic’s proposal outlines several areas where the company believes policymakers should focus, including AI safety testing, national security safeguards, export controls, infrastructure development, and the government’s capacity to evaluate advanced models.

The company also called for greater transparency around frontier AI development. It argued that policymakers should have access to independent assessments of the most capable systems before they are widely deployed.

The recommendations come as lawmakers, regulators, and technology companies continue to debate whether existing laws are sufficient to address the risks associated with advanced AI models. Several AI developers, including Anthropic, OpenAI, and Google, have publicly supported some form of government oversight for the most powerful systems, although they differ on specific regulatory approaches.

Anthropic’s proposal was released less than a week after House lawmakers unveiled a discussion draft intended to guide future federal AI legislation. The company did not endorse that proposal and instead offered its own recommendations for how Congress should approach AI governance as model capabilities continue to advance.

Clayton Rifkind

Clayton Rifkind is the Founder and Senior Editor of AI Risk Today. He also advises on content development for esgtoday.com, a leading source of ESG investment news and research for institutional investors and corporate leaders. He has 20+ years experience in B2B technology marketing, leading strategy and execution of go-to-market plans across software, enterprise platforms, and mobile applications. He also founded two marketing consultancies, advising startups and Fortune 1000 companies, including Autodesk, Intel, and Microsoft. Clayton began his career in the San Francisco advertising scene, working with brands such as Hewlett-Packard, Intel, Microsoft, Symantec, and Wells Fargo.

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