An ASP-Based Approach to Counterfactual Explanations for Classification

Leopoldo Bertossi

We propose answer-set programs that specify and compute counterfactual interventions as a basis for causality-based explanations to decisions produced by classification models. They can be applied with black-box models and models that can be specified as logic programs, such as rule-based classifiers. The main focus in on the specification and computation of maximum responsibility causal explanations. The use of additional semantic knowledge is investigated.

Knowledge Graph



Sign up or login to leave a comment