Federal vs. State Tensions in AI Regulation Policy

Summary

The National Law Review examines the evolving and often conflicting landscape of AI regulation in the United States, focusing on the tension between federal government approaches and state-level legislative efforts. As states have moved to enact their own AI laws covering areas such as algorithmic transparency, bias auditing, and automated decision-making, questions about preemption and regulatory fragmentation have intensified. The article addresses the political dynamics shaping AI regulation