72 citations · 74 across the 6 of their papers we have counts for
3 papers · 1 filter
The Promises and Limitations of Evaluation-Based AI Governance: Evidence from Expert Interviews
Lily Stelling, Jacob Charnock, Kevin L. Wei +1
We conducted 37 semi-structured expert interviews to examine how frontier AI evaluations reduce societal-level AI risks. Evaluations have become central to AI risk governance, desp…
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper, Carson Ezell, Charlotte Siegmann +18
External audits of AI systems are increasingly recognized as a key mechanism for AI governance. The effectiveness of an audit, however, depends on the degree of access granted to a…
Visibility into AI Agents
Alan Chan, Carson Ezell, Max Kaufmann +9
Increased delegation of commercial, scientific, governmental, and personal activities to AI agents -- systems capable of pursuing complex goals with limited supervision -- may exac…