RACER: Role-Aligned Competence Estimation for Human-AI Routing
Learning to defer asks a predictive system when to act autonomously and when to defer to a human expert. Population-adaptive deferral extends this problem to unseen experts using a small context set of expert behavior. Neural context encoders such as L2D-Pop can be query-dependent, but may learn routing shortcuts tied...
Joshua Strong, Emma Sun, A. Capstick et al.
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