mlsanityData to 7 Oct 2026

Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations

arXiv 2605.08688 ↗First posted 9 May 2026cs.AI cs.DB cs.LOcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 28 references that are in the map. First posted on arXiv 9 May 2026.

Builds on

14 of 28 references.

References · 14

  1. 2019Causality for Machine Learningcited by 242
  2. 2019Feature relevance quantification in explainable AI: A causal problemcited by 164
  3. 2021On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Resultscited by 32
  4. 2023Logic for Explainable AIcited by 23
  5. 2020Declarative Approaches to Counterfactual Explanations for Classificationcited by 14
  6. 2014From Causes for Database Queries to Repairs and Model-Based Diagnosis and Backcited by 13
  7. 2016Complexity of Consistent Query Answering in Databases under Cardinality-Based and Incremental Repair Semantics (extended version)cited by 12
  8. 2016Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraintscited by 8
  9. 2025Shapley Revisited: Tractable Responsibility Measures for Query Answerscited by 4
  10. 2023Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilationcited by 3
  11. 2023From Database Repairs to Causality in Databases and Beyondcited by 3
  12. 2023Attribution-Scores in Data Management and Explainable Machine Learningcited by 2
2 more
  1. 2025Sufficient Explanations in Databases and their Connections to Database Repairscited by 1
  2. 2026Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solutioncited by 1

Built on by

Not cited yet.