A Survey of Bias in Machine Learning Through the Prism of Statistical Parity

DOI10.1080/00031305.2021.1952897OpenAlexW3182079404MaRDI QIDQ5050826

Laurent Risser, Paula Gordaliza, Philippe Besse, Eustasio del Barrio, Jean-Michel Loubes

Publication date: 18 November 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2021.1952897

zbMATH Keywords

fairnessmachine learningtutorialdisparate impact

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Bias, Fairness and Accountability with Artificial Intelligence and Machine Learning Algorithms

Uses Software

• FlipTest

Cites Work

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• Fairness through awareness