Navigating Divergent State AI Regulations in the US
With no federal AI law, states are creating a complex patchwork of rules for developers and users, posing significant cross-border compliance challenges.
In the absence of a comprehensive federal framework, a growing number of U.S. states, including California, New York, and Colorado, have enacted their own laws governing artificial intelligence. This has created a fragmented regulatory landscape with widely divergent approaches. Some laws focus on the developers of advanced AI models, imposing transparency and safety obligations, while others target companies that deploy AI for "consequential decisions" in areas like employment, lending, and healthcare, often focusing on algorithmic discrimination and disclosure. This state-by-state approach presents significant compliance challenges for companies operating nationally, forcing them to navigate a complex web of potentially conflicting requirements. The situation is further complicated by reports that the federal administration prefers a unified national standard and may challenge certain state laws. Boards and in-house counsel must now establish robust governance processes to monitor these developments, identify applicable state regimes, and create compliance frameworks that can adapt to this unsettled and rapidly evolving legal environment.