A survey of 136 U.S. clinicians finds that autonomous AI prescribing would require confidence-based escalation, differentiated uncertainty communication, and inferential transparency to gain acceptance and properly allocate liability.
Quantifying aleatoric and epistemic uncertainty with proper scoring rules
3 Pith papers cite this work. Polarity classification is still indexing.
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Negative log-likelihood of the greedy-decoded most likely sequence (G-NLL) is a principled single-sequence uncertainty measure for LLMs that achieves state-of-the-art results.
Systematic review of 370 publications classifies uncertainty representation in risk management into probabilistic, evidence-based/fuzzy, qualitative, graphical, and hybrid families, noting limited practical integration.
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Methods for Uncertainty Representation in Risk Management: A Comparative Review and Decision-Oriented Framework
Systematic review of 370 publications classifies uncertainty representation in risk management into probabilistic, evidence-based/fuzzy, qualitative, graphical, and hybrid families, noting limited practical integration.