AINeutralarXiv – CS AI · 7h ago6/10
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The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
Researchers present a framework for optimally combining algorithmic risk scoring with direct verification screening in resource allocation decisions. The study demonstrates that even perfect predictive models cannot eliminate misallocation due to irreducible uncertainty about individual vulnerability, and shows that screening is most effective when focused on borderline cases rather than high-risk units.