Black-Box Access is Insufficient for Rigorous AI Audits

FAccT ’24, June 03–06, 2024, Rio de Janeiro, Brazil

Bibliographic Details
Main Authors:	Casper, Stephen, Ezell, Carson, Siegmann, Charlotte, Kolt, Noam, Curtis, Taylor Lynn, Bucknall, Benjamin, Haupt, Andreas, Wei, Kevin, Scheurer, Jérémy, Hobbhahn, Marius, Sharkey, Lee, Krishna, Satyapriya, Von Hagen, Marvin, Alberti, Silas, Chan, Alan, Sun, Qinyi, Gerovitch, Michael, Bau, David, Tegmark, Max, Krueger, David, Hadfield-Menell, Dylan
Other Authors:	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format:	Article
Language:	English
Published:	ACM\|The 2024 ACM Conference on Fairness, Accountability, and Transparency 2024
Online Access:	https://hdl.handle.net/1721.1/155783

Internet

https://hdl.handle.net/1721.1/155783