The US state AI legislative landscape now has a dedicated research tool. CNTR, the Center for Technological Responsibility, Reimagination, and Redesign at Brown University, launched the AISLE portal to help the public, journalists, researchers, and policymakers identify trends and assess AI-related bills across all 50 states.
The need is real. According to the MacArthur Foundation’s announcement, CNTR reports that more than 1,000 AI-related bills have been introduced in the US over the past three years. At launch, the portal includes profiles for approximately 100 bills, according to the same announcement. Both figures come from CNTR and haven’t been independently verified, but they’re consistent with what practitioners navigating multi-state compliance already know: the volume is substantial and growing.
CNTR is a MacArthur Foundation grantee, and the announcement comes from the foundation’s own publications channel, not independent journalism. That context matters for how to weight the framing, though it doesn’t diminish the portal’s practical value.
For compliance teams and policy researchers, a tool that aggregates and profiles state-level AI bills in one place directly addresses a real gap. Tracking 50 state legislatures simultaneously isn’t practical without infrastructure. AISLE is a step toward making that tractable.
The portal is worth bookmarking. Whether its coverage expands beyond 100 bill profiles, and how quickly, will determine how useful it becomes for practitioners who need comprehensive, current data rather than a representative sample.
This is the kind of resource the AI regulation patchwork demands. The fact that it took an academic center and foundation funding to build it says something about where market incentives currently sit.