US AI Governance

US AI governance refers to the regulatory frameworks, policies, and institutional mechanisms through which federal and state governments oversee artificial intelligence development and deployment. Key bodies include the Executive Office of the President, NIST, the FTC, and emerging congressional legislation such as proposed AI bills addressing transparency, accountability, and bias. For enterprises, US AI governance matters because it establishes compliance requirements, liability standards, and best practices that affect how organizations can develop, test, and deploy AI systems in American markets.

1 item

Corporate PolicyUS2026-07-22

Third CAISI Leadership Departure in Six Months Leaves US AI Standards Body Without Direction

Chris Fall, director of the Center for AI Standards and Innovation (CAISI) at NIST, resigned in July 2026 after approximately three months in the role, the third leadership departure from the agency since early 2026. CAISI is the primary US federal body responsible for developing AI technical standards, testing methodologies, and cybersecurity risk assessments for AI systems. The departure compounds uncertainty around US federal AI standards development at a moment when enterprise compliance teams are tracking multiple parallel regulatory signals.

NIST CAISI US AI governance AI standards regulatory leadership federal AI policy standards development compliance program management