Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence

• URL: http://arxiv.org/abs/2303.02829v2
• Date: Wed, 22 Mar 2023 22:51:36 GMT
• Title: Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence
• Authors: Leopoldo Bertossi
• Abstract summary: We highlight the relevance of explanations for artificial intelligence, in general, and for the newer developments in em explainable AI We describe in simple terms, explanations in data management and machine learning that are based on attribution-scores, and counterfactuals as found in the area of causality.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this expository article we highlight the relevance of explanations for artificial intelligence, in general, and for the newer developments in {\em explainable AI}, referring to origins and connections of and among different approaches. We describe in simple terms, explanations in data management and machine learning that are based on attribution-scores, and counterfactuals as found in the area of causality. We elaborate on the importance of logical reasoning when dealing with counterfactuals, and their use for score computation.

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