Lecture 12
Federal & State-Level US Law and Policy
National & International Approaches to AI Governance
This lecture surveys major U.S. policy actions with attention to their technical implications, such as model access restrictions and reporting requirements. We analyze the intersection between compute governance proposals and institutional capacity. Case studies include California SB1047 and SB53 thresholds for foundation model testing and the Biden Executive Order's directives on safety testing. We also discuss the fragmented nature of U.S. governance and the role of federalism, industry lobbying, and public perception.