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Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system

Doron Kliger, Tsvi Kuflik & Avital Shulner-Tal

Ethics and Information Technology 24 (1) (2022)

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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Cynthia Rudin - 2019 - Nature Machine Intelligence 1.details Download Export citation Bookmark 129 citations
Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.A. Barredo Arrieta, N. Díaz-Rodríguez, J. Ser, A. Bennetot, S. Tabik & A. Barbado - 2020 - Information Fusion 58.details Download Export citation Bookmark 83 citations
Peeking inside the black-box: A survey on explainable artificial intelligence (XAI).A. Adadi & M. Berrada - 2018 - IEEE Access 6.details Download Export citation Bookmark 69 citations
A Survey of Methods for Explaining Black Box Models.Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti & Dino Pedreschi - 2019 - ACM Computing Surveys 51 (5):1-42.details Download Export citation Bookmark 59 citations
Explainable AI: From black box to glass box.A. Rai - 2020 - Journal of the Academy of Marketing Science 48.details Download Export citation Bookmark 11 citations

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