Connecting Consistency-Based Diagnosis and Actual Causality for XAI

A new research paper establishes theoretical connections between Consistency-Based Diagnosis (CBD) and Actual Causality, including Causal Responsibility, within the framework of Explainable AI (XAI). CBD has been largely overlooked by the XAI community, and the authors argue that linking these two areas could significantly advance both XAI and Explainable Data Management. The paper is published on arXiv under the Computer Science > Artificial Intelligence category.