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The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty

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Published in:ArXiv cs.AI Recent Papers
Format: Online Article RSS Article
Published: 2026
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container_title ArXiv cs.AI Recent Papers
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record_format rss_article
spellingShingle The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
ArXiv cs.AI Recent Papers
Chemical Engineering
Engineering & Technology
sub_discipline_display Chemical Engineering
sub_discipline_facet Chemical Engineering
subject_display ArXiv cs.AI Recent Papers
Chemical Engineering
Engineering & Technology
ArXiv cs.AI Recent Papers
Chemical Engineering
Engineering & Technology
subject_facet ArXiv cs.AI Recent Papers
Chemical Engineering
Engineering & Technology
title The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
title_auth The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
title_full The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
title_fullStr The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
title_full_unstemmed The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
title_short The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
title_sort the limits of ai-driven allocation: optimal screening under aleatoric uncertainty
topic ArXiv cs.AI Recent Papers
Chemical Engineering
Engineering & Technology
url https://arxiv.org/abs/2605.07979v1