Algorithmic Fairness as an Inconsistent Concept

Abstract In this article, I investigate whether algorithmic fairness is an inconsistent concept (the inconsistency thesis). Drawing on the work of Kevin Scharp, inconsistent concepts can apply and disapply at the same time (2.). It is shown that paradigmatic issues of algorithmic fairness fit this description (3.). Similarities and differences to received views (4.) and alternatives to the inconsistency thesis are considered (5.). Suggestions are articulated on how the inconsistency thesis might hold ground nevertheless, or at the very least denotes a distinctive option in argumentative space whose status and implications merit further evaluation.

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Publication Details

Journal
American Philosophical Quarterly
Published
2025-01-01
DOI
https://doi.org/10.5406/21521123.62.1.04
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Algorithmic Fairness as an Inconsistent Concept

Patrik Hummel
American Philosophical Quarterly
Ethics and Social Impacts of AI
article

Algorithmic Fairness as an Inconsistent Concept

Patrik Hummel
article en

Abstract

Abstract In this article, I investigate whether algorithmic fairness is an inconsistent concept (the inconsistency thesis). Drawing on the work of Kevin Scharp, inconsistent concepts can apply and disapply at the same time (2.). It is shown that paradigmatic issues of algorithmic fairness fit this description (3.). Similarities and differences to received views (4.) and alternatives to the inconsistency thesis are considered (5.). Suggestions are articulated on how the inconsistency thesis might hold ground nevertheless, or at the very least denotes a distinctive option in argumentative space whose status and implications merit further evaluation.

American Philosophical QuarterlyVol. 62(1)
Eindhoven University of Technology (NL)
Peace, Justice and strong institutions
Openalex Percentile: Top 100%
Ethics and Social Impacts of AI
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