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Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms

Authors :
Weerts, Hilde
Kelly-Lyth, Aislinn
Binns, Reuben
Adams-Prassl, Jeremias
Source :
2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24)
Publication Year :
2024

Abstract

Emerging scholarship suggests that the EU legal concept of direct discrimination - where a person is given different treatment on grounds of a protected characteristic - may apply to various algorithmic decision-making contexts. This has important implications: unlike indirect discrimination, there is generally no 'objective justification' stage in the direct discrimination framework, which means that the deployment of directly discriminatory algorithms will usually be unlawful per se. In this paper, we focus on the most likely candidate for direct discrimination in the algorithmic context, termed inherent direct discrimination, where a proxy is inextricably linked to a protected characteristic. We draw on computer science literature to suggest that, in the algorithmic context, 'treatment on the grounds of' needs to be understood in terms of two steps: proxy capacity and proxy use. Only where both elements can be made out can direct discrimination be said to be `on grounds of' a protected characteristic. We analyse the legal conditions of our proposed proxy capacity and proxy use tests. Based on this analysis, we discuss technical approaches and metrics that could be developed or applied to identify inherent direct discrimination in algorithmic decision-making.

Details

Database :
arXiv
Journal :
2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24)
Publication Type :
Report
Accession number :
edsarx.2404.14050
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3630106.3659010