Explainability Isa Game

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João Marques-Silva, Xuanxiang Huang

Published: 01 Jan 2024, Last Modified: 02 Oct 2024Commun. ACM 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: When the decisions of ML models impact people, one should expect explanations to offer the strongest guarantees of rigor. However, the most popular XAI approaches offer none.