Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Patino +1
The rise of machine learning has shifted targeted resource allocation in policy and humanitarian settings toward algorithmic targeting based on predicted risk scores. This approach…
cs.AI2026
When Agents Say One Thing and Do Another: Validating Elicited Beliefs from LLMs
Khurram Yamin, Jingjing Tang, Santiago Cortes-Gomez +3
Large language models (LLMs) are increasingly deployed in high-stakes settings where good decisions require forming beliefs over the probability of unknown outcomes. However, it is…