AINeutralarXiv – CS AI · May 16/10
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Learning from Disagreement: Clinician Overrides as Implicit Preference Signals for Clinical AI in Value-Based Care
Researchers propose a framework that treats clinician overrides of AI recommendations as preference signals for training clinical decision-support systems in value-based care settings. The approach combines preference learning with capability modeling to improve AI alignment with patient outcomes rather than encounter economics, addressing a failure mode called suppression bias.