Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations
arXiv:2605.086886.4
Predicted impact top 94% in AI · last 90 daysOriginality Incremental advance
AI Analysis
This work provides a theoretical foundation linking two previously separate fields, offering potential new perspectives for XAI researchers.
The paper establishes theoretical connections between Consistency-Based Diagnosis (CBD) and actual causality/causal responsibility, aiming to bridge these areas for Explainable AI (XAI) and Explainable Data Management. No concrete numbers are provided.
We establish, from the point of view of Explainable AI (XAI), connections between Consistency-Based Diagnosis (CBD), on one side, and Actual Causality and Causal Responsibility, on the other. CBD has received little attention from the XAI community. Connections between these two areas could have a fruitful impact on XAI and Explainable Data Management.