Evaluation Ethics

Evaluate AI ethically as a research practice. Learn benchmark hygiene, contamination (and disclosure when found), the leaderboard-gaming problem, slice evaluation across populations, eval-set IP and reuse considerations, the disclosure-of-eval-limitations norm in publication, the difference between research-grade and decision-grade evaluation, and the link to the AI Algorithmic Fairness and Disclosure tracks.