Research
151d agoSurvey Reveals Gaps in Uncertainty‑Aware XAI
Global research on uncertainty‑aware UAXAI highlights fragmented evaluation and limited user focus, underscoring the need for standardized benchmarks. The survey identifies Bayesian, Monte Carlo, and Conformal methods as dominant quantifiers, yet finds inconsistent reporting of calibration and coverage.
The Signal
By mapping these gaps, the study calls for unified practices that strengthen AI transparency worldwide.