Research
151d agoSurvey Reveals Gaps in Uncertainty‑Aware XAI
Researchers worldwide have compiled a comprehensive survey of uncertainty‑aware explainable AI, highlighting three main quantification strategies: Bayesian, Monte Carlo, and conformal methods.
The Signal
The study maps how uncertainty is woven into explanations—by assessing trust, constraining models, or communicating risk—and exposes fragmented evaluation practices that focus mainly on model metrics, leaving user‑centric reliability underexplored.