DeCoDe combines concept bottleneck models with learning to defer to select per-instance among AI-only, human-only, and AI+human strategies, reporting accuracy gains over binary deferral baselines on three image datasets.
Artificial intelligence for breast cancer screening in mammography (ai-stream): preliminary analysis of a prospective multicenter cohort study
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DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models
DeCoDe combines concept bottleneck models with learning to defer to select per-instance among AI-only, human-only, and AI+human strategies, reporting accuracy gains over binary deferral baselines on three image datasets.