An ASP-Based Approach to Counterfactual Explanations for Classification

Leopoldo Bertossi

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arXiv · 2004.13237

An ASP-Based Approach to Counterfactual Explanations for Classification

Leopoldo Bertossi

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Abstract

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.

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cs.LG cs.DB cs.LO stat.ML

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Leopoldo Bertossi. 2020-04-28. An ASP-Based Approach to Counterfactual Explanations for Classification. https://arxiv.org/abs/2004.13237

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