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Panel urges stronger state action on AI, calls for transparency and enforcement
Summary
Experts at a panel on state AI regulation urged lawmakers to require model and dataset transparency, robust enforcement (including private rights of action or resourced agencies) and limits on proven high‑risk uses such as facial recognition. Panelists highlighted California bills and antitrust tools as immediate levers.
A panel of legal and civil‑rights experts said state governments should adopt stronger, enforceable rules for artificial intelligence that prioritize transparency, enforcement and protections for people subject to automated decisions.
"We need legislation with broad and clear definitions, robust transparency requirements, and no loopholes," said Matt Shearer, senior policy counsel for workers' rights and technology at the Center for Democracy & Technology. He warned that many state bills amount to "legislative virtue signaling" that leaves the public unprotected.
The panel — convened and moderated by Steve Tapia — discussed a range of near‑term tools. Jayashima, a Seattle‑based technology entrepreneur who co‑founded the Transparency Coalition, pointed to recent…
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