72 citations · 80 across the 6 of their papers we have counts for
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cs.CL2024★ 1 cited
An Assessment of Model-On-Model Deception
Julius Heitkoetter, Michael Gerovitch, Laker Newhouse
The trustworthiness of highly capable language models is put at risk when they are able to produce deceptive outputs. Moreover, when models are vulnerable to deception it undermine…
cs.CY2024★ 72 cited
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…