Panel: Beyond Benchmarks: Turning Evaluations into Enforceable Standards

This panel examines how to close the AI evaluations gap: what will it take to turn benchmarks and audits into standards that regulators can enforce and the public can trust. Panelists will explore who should define and verify what "good enough" means, how to keep evaluations meaningful as models evolve, and what lessons from other regulated industries can guide accountability for AI.