AI RESEARCH
Fatigue-Aware Learning to Defer via Constrained Optimisation
arXiv CS.LG
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ArXi:2604.00904v1 Announce Type: new Learning to defer (L2D) enables human-AI cooperation by deciding when an AI system should act autonomously or defer to a human expert. Existing L2D methods, however, assume static human performance, contradicting well-established findings on fatigue-induced degradation. We propose Fatigue-Aware Learning to Defer via Constrained Optimisation (FALCON), which explicitly models workload-varying human performance using psychologically grounded fatigue curves.