Can We Trust AI Evaluation? Robustness, Causality, and Risk in Modern AI Assessment

The workshop examines when AI evaluation provides dependable evidence for decisions. Topics include sensitivity to evaluation choices, repeated benchmark use, contamination, uncertainty and the relationship between offline scores and reliability or safety after deployment. Session: 08:00–17:00 (Australia/Sydney). A paid NeurIPS virtual pass includes workshop livestreams; on-site access follows the host-location registration rules.