Explainability Is <i>Not</i> a Game-Reference-Cited by-同舟云学术

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Explainability Is Not a Game

Published:2024-07 Issue:7 Volume:67 Page:66-75
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Marques-Silva Joao¹,Huang Xuanxiang²

Affiliation:

1. ICREA, University of Lleida, Spain

2. University of Toulouse, France

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.

Funder

ANR

H2020 LEIT Information and Communication Technologies

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3635301

Reference40 articles.

1. Arenas M. Barceló P. Bertossi L.E. and Monet M. The tractability of SHAP-score-based explanations for classification over deterministic and decomposable boolean circuits. In AAAI 2021 6670–6678.

2. On the complexity of SHAP-score-based explanations: Tractability via knowledge compilation and non-approximability results;Arenas M.;J. Mach. Learn. Res.,2023

3. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

4. Occam's Razor

5. Chen H. Covert I.C. Lundberg S.M. and Lee S. Algorithms to estimate shapley value feature attributions. CoRR abs/2207.07605 2022; 10.48550/arXiv.2207.07605 arXiv:2207.07605

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1. XAI is in trouble;AI Magazine;2024-07-29

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