AI RESEARCH
Beyond Procedure: Substantive Fairness in Conformal Prediction
arXiv CS.LG
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ArXi:2602.16794v2 Announce Type: replace-cross Conformal prediction (CP) offers distribution-free uncertainty quantification for machine learning models, yet its interplay with fairness in downstream decision-making remains underexplored. Moving beyond CP as a standalone operation (procedural fairness), we analyze the holistic decision-making pipeline to evaluate substantive fairness-the equity of downstream outcomes.