People are Not Coins: A Reply to Hedden.

17 Pages Posted: 3 Jun 2021 Last revised: 23 Jun 2021

See all articles by Michele Loi

Michele Loi

Department of Mathematics, Politecnico di Milano

Eleonora Viganò

University of Zurich - Institute for Biomedical Ethics and the History of Medicine

Corinna Hertweck

University of Zurich

Christoph Heitz

ZHAW Zürcher Hochschule für Angewandte Wissenschaften

Date Written: June 1, 2021

Abstract

This paper is a reply to "On Statistical Criteria of Algorithmic Fairness," by Brian Hedden. We question the significance of arguing that many group fairness criteria discussed in the machine learning literature are not necessary conditions for the fairness of predictions or decisions based on them. We show that it may be true, in general, that F is not a necessary condition for the fairness of all predictions (or decisions based on them). And yet, compatibly with this, most predictions or decisions involving people could be unfair if they violate the statistical fairness constraint F.

Keywords: algorithms, fairness, justice, statistics

Suggested Citation

Loi, Michele and Viganò, Eleonora and Hertweck, Corinna and Heitz, Christoph, People are Not Coins: A Reply to Hedden. (June 1, 2021). Available at SSRN: https://ssrn.com/abstract= or http://dx.doi.org/10.2139/ssrn.3857889

Michele Loi (Contact Author)

Department of Mathematics, Politecnico di Milano ( email )

Milano, CH-8006
Italy

Eleonora Viganò

University of Zurich - Institute for Biomedical Ethics and the History of Medicine ( email )

Winterthurerstrasse 30
8006
Zürich, 8006
Switzerland

Corinna Hertweck

University of Zurich ( email )

Rämistrasse 71
Zürich, CH-8006
Switzerland

Christoph Heitz

ZHAW Zürcher Hochschule für Angewandte Wissenschaften ( email )

St.-Georgen-Platz 2
Winterthur, 8401
Switzerland

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