The Case for Correctability in Fair Machine Learning

Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel. The Case for Correctability in Fair Machine Learning. In Jose M. Alvarez, Alessandro Fabris, Christoph Heitz, Corinna Hertweck, Michele Loi, Meike Zehlike, editors, Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023. Volume 3442 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]

Abstract

Abstract is missing.