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U.S. AI Governance
Coverage from Gizmodo, The Regulatory Review, and others
U.
S. AI governance brings together federal oversight, executive and agency approaches, proposed legislation, and state-level rules. Proposals such as the FRONTIER Act and AI Kill Switch Act illustrate options including risk assessments, audits, incident reporting, and the ability to halt or shut down certain systems. A recurring policy question is how federal rules should relate to state safeguards, including whether national legislation should preempt some state requirements. These choices shape how AI risks are assessed, who is accountable, and what powers government has over development and deployment.
Anthropic has entered the debate by promoting a separate federal framework centered on company-written safety plans, independent evaluation and narrowly defined government intervention.
The debate now includes the FRONTIER Act and a separate proposal for securing AI agents used by government contractors. Lawmakers have also signaled comprehensive action may slip beyond the 2026 midterms.
Previously broad approaches to AI oversight are now tied to distinct proposals, including a House framework with temporary limits on state model-development rules and separate shutdown and development-pause bills. None is described as enacted.
Congress has not agreed on a comprehensive federal AI framework, despite proposals for frontier-model audits, incident reporting, deployment controls, and other safeguards. The FRONTIER Act is a recurring focal point, while disputes over federal preemption, the scope of oversight, and innovation concerns complicate action. State governments continue to develop their own requirements as federal legislation remains unsettled.