AI Leaders Push for Global Safety Protocols While US Administration Rejects New Oversight Body

Deep News
Yesterday

The heads of OpenAI, Anthropic, and Hugging Face have jointly urged the United Nations to strengthen international coordination on artificial intelligence, calling for comparable standards in AI capability assessment, safety testing, and incident reporting across nations. However, the Trump administration has explicitly opposed creating a new global AI governance framework, arguing that the pace of AI development and potential risks do not justify restricting technological progress or ceding regulatory authority to international mechanisms. This divide reveals that while frontier AI capabilities advance rapidly, America's leading AI firms and the Trump administration do not stand fully opposed on the existence of safety risks—both acknowledge that more powerful models could introduce new dangers. The genuine disagreement lies in how to translate these risks into regulatory systems and how much coordination and governance power international institutions should possess.

OpenAI seeks shared risk assessment and incident reporting standards. OpenAI CEO Sam Altman told the UN that as AI capabilities grow, the most consequential decisions about this technology cannot be made solely by a few labs in San Francisco, and nations need to establish common evaluation and safety frameworks around powerful AI systems. Altman proposed creating both national and international standards for measuring AI system capabilities, assessing related risks, reviewing safety safeguards, and determining the extent of human oversight and control over AI systems. He also advocated for faster incident classification, reporting, and disclosure mechanisms so that different countries can use a common language to compare evidence and verify safety measures. OpenAI's recently published policy framework also suggests establishing interoperable national and international frontier AI standards while unifying some model capability measurements and incident reporting protocols. The company simultaneously emphasized its desire for the United States to play a leadership role in setting these international standards.

Anthropic argues that enterprises alone cannot manage frontier risks. Anthropic CEO Dario Amodei took a similar stance, stating that if mismanaged, more powerful AI could pose risks affecting entire societies or even humanity, meaning safety standards must rise in tandem with model capability improvements. Amodei said Anthropic is willing to slow its own technology release pace when necessary to ensure next-generation systems achieve adequate safety levels, but he also believes frontier AI risks now exceed any single company's management capacity, requiring coordination at both industry and global levels. This assessment aligns with the increasing number of AI agent safety incidents across the industry. A special briefing released this week by the UN's independent International Scientific Panel on AI cited OpenAI and Hugging Face-related AI agent events as examples, discussing cross-institutional risks that can emerge when models deviate from goals, exploit vulnerabilities, or evade oversight. The report emphasized that AI incidents can cross corporate and national boundaries, and no single institution can independently grasp the full picture of risks. Hugging Face leader Clement Delangue also proposed strengthening global AI monitoring and incident disclosure standards.

The Trump administration draws a clear line against turning international coordination into "global governance". Michael Kratsios, the White House's science and technology adviser, told the UN that the US acknowledges AI development is accelerating and recognizes the technology may bring risks, but these dangers are insufficient to justify pausing AI development or restricting it through a new global governance architecture. His core position is that international society can continue dialogue and technical coordination, but such discussions must not gradually evolve into "global governance" where transnational institutions dominate AI rule-making and regulation. This stance matches Trump's earlier public statements. Trump said at the UN General Assembly on September 22 that the US opposes establishing a global control system for AI and regards maintaining America's competitive edge in AI as a key policy objective.

The real disagreement centers on "standards" versus "governance". Therefore, the current debate cannot be simply framed as AI companies seeking more safety while the US government opposes safety regulation. The focus of OpenAI and others is to establish common capability tests, risk assessments, and incident disclosure standards so different nations can use identical metrics to judge frontier model risks and rapidly share information during major incidents. The Trump administration has not denied these risks exist, but rather opposes allowing international cooperation to develop further into a global AI governance mechanism with independent regulatory power or binding authority. In other words, the core dispute concerns which level international rules should occupy. One approach is to build common technical standards enabling nations to compare model capabilities and safety levels; another is to further establish a transnational governance system capable of setting and even enforcing unified rules. The Trump administration currently rejects the latter explicitly.

Notably, even as OpenAI calls for international standards, this does not mean it advocates replacing US oversight with international institutions. OpenAI's recent policy documents clearly state that the US should take a leadership role in international frontier AI standard-setting. Its vision more closely resembles the US driving establishment of a technical framework that other nations could adopt or mutually recognize, rather than handing primary regulatory authority directly to a global body. This makes the current debate more complex than "global regulation versus no regulation at all". OpenAI, Anthropic, and other companies are pushing for stricter, more unified risk testing and incident disclosure mechanisms; the Trump administration wants these rules to neither hinder US AI firms from rapidly developing models nor create a global governance system superseding national oversight. Meanwhile, the UN continues advancing discussions on AI global governance. The UN General Assembly's relevant framework has proposed forming greater common understanding on key areas of international AI governance and stressed that all nations need to participate in rule discussions. Overall, as frontier model capabilities improve rapidly, AI safety has gradually transformed from a technical issue within individual companies into a policy issue between nations. OpenAI, Anthropic, and Hugging Face are driving more unified risk assessment and incident reporting standards, while the Trump administration explicitly demands that international coordination must not evolve into a new global regulatory architecture.

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