
Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments (Chris Schnabl, Pivotal Labs & University of Cambridge) — UK AI Forum
About this event
As AI systems shift from static predictors to increasingly autonomous agents, the challenge is not only how they act, but how we can trust and govern those actions. My recent work on Attestable Audits (ICML 2025) introduces a method for making AI evaluations verifiable: using secure hardware,



