Optimal allocation screens units at the margin of algorithmic decisions and directly targets highest-risk units, with screening efficiency gains increasing as aleatoric uncertainty rises.
Machine learning and phone data can improve targeting of humanitarian aid.Nature, 603(7903):864– 870
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The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
Optimal allocation screens units at the margin of algorithmic decisions and directly targets highest-risk units, with screening efficiency gains increasing as aleatoric uncertainty rises.