Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents

S Kiyani, G Pappas, A Roth, H Hassani - arXiv preprint arXiv:2502.02561, 2025 - arxiv.org
A fundamental question in data-driven decision making is how to quantify the uncertainty of
predictions in ways that can usefully inform downstream action. This interface between …

[PDF][PDF] Results and Implications for Generative AI in Education

W Hersh - dmice.ohsu.edu
• For 20 clinical cases, GPT-4 performed comparable to attending physicians and residents
in diagnostic accuracy, correct clinical reasoning, and cannotmiss diagnosis inclusion …