Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law: Or Why the Law is Not a Decision Tree

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Standard

Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law : Or Why the Law is Not a Decision Tree. / Weerts, Hilde; Xenidis, Raphaële; Tarissan, Fabien; Olsen, Henrik Palmer; Pechenizkiy, Mykola.

I: CEUR Workshop Proceedings, Bind 3442, 2023, s. 805-816.

Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

Harvard

Weerts, H, Xenidis, R, Tarissan, F, Olsen, HP & Pechenizkiy, M 2023, 'Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law: Or Why the Law is Not a Decision Tree', CEUR Workshop Proceedings, bind 3442, s. 805-816. https://doi.org/10.1145/3593013.3594044

APA

Weerts, H., Xenidis, R., Tarissan, F., Olsen, H. P., & Pechenizkiy, M. (2023). Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law: Or Why the Law is Not a Decision Tree. CEUR Workshop Proceedings, 3442, 805-816. https://doi.org/10.1145/3593013.3594044

Vancouver

Weerts H, Xenidis R, Tarissan F, Olsen HP, Pechenizkiy M. Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law: Or Why the Law is Not a Decision Tree. CEUR Workshop Proceedings. 2023;3442:805-816. https://doi.org/10.1145/3593013.3594044

Author

Weerts, Hilde ; Xenidis, Raphaële ; Tarissan, Fabien ; Olsen, Henrik Palmer ; Pechenizkiy, Mykola. / Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law : Or Why the Law is Not a Decision Tree. I: CEUR Workshop Proceedings. 2023 ; Bind 3442. s. 805-816.

Bibtex

@inproceedings{6b37594f5fdf4fe5813c81373ff29afb,
title = "Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law: Or Why the Law is Not a Decision Tree",
abstract = "Concerns regarding unfairness and discrimination in the context of artificial intelligence (AI) systems have recently received increased attention from both legal and computer science scholars. Yet, the degree of overlap between notions of algorithmic bias and fairness on the one hand, and legal notions of discrimination and equality on the other, is often unclear, leading to misunderstandings between computer science and law. In this paper, we aim to illustrate to what extent European Union (EU) non-discrimination law coincides with notions of algorithmic fairness proposed in computer science literature and where they differ. Ultimately, we show that metaphors depicting the law as a decision tree are misguiding. We suggest moving away from asking what should be equal, and towards asking why a particular distribution of burdens and benefits is right in a given context.",
keywords = "discrimination, EU law, fairness metrics, legal compliance, technical interventions",
author = "Hilde Weerts and Rapha{\"e}le Xenidis and Fabien Tarissan and Olsen, {Henrik Palmer} and Mykola Pechenizkiy",
note = "Publisher Copyright: {\textcopyright} 2023 Copyright for this paper by its authors.; 2nd European Workshop on Algorithmic Fairness, EWAF 2023 ; Conference date: 07-06-2023 Through 09-06-2023",
year = "2023",
doi = "10.1145/3593013.3594044",
language = "English",
volume = "3442",
pages = "805--816",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "ceur workshop proceedings",

}

RIS

TY - GEN

T1 - Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law

T2 - 2nd European Workshop on Algorithmic Fairness, EWAF 2023

AU - Weerts, Hilde

AU - Xenidis, Raphaële

AU - Tarissan, Fabien

AU - Olsen, Henrik Palmer

AU - Pechenizkiy, Mykola

N1 - Publisher Copyright: © 2023 Copyright for this paper by its authors.

PY - 2023

Y1 - 2023

N2 - Concerns regarding unfairness and discrimination in the context of artificial intelligence (AI) systems have recently received increased attention from both legal and computer science scholars. Yet, the degree of overlap between notions of algorithmic bias and fairness on the one hand, and legal notions of discrimination and equality on the other, is often unclear, leading to misunderstandings between computer science and law. In this paper, we aim to illustrate to what extent European Union (EU) non-discrimination law coincides with notions of algorithmic fairness proposed in computer science literature and where they differ. Ultimately, we show that metaphors depicting the law as a decision tree are misguiding. We suggest moving away from asking what should be equal, and towards asking why a particular distribution of burdens and benefits is right in a given context.

AB - Concerns regarding unfairness and discrimination in the context of artificial intelligence (AI) systems have recently received increased attention from both legal and computer science scholars. Yet, the degree of overlap between notions of algorithmic bias and fairness on the one hand, and legal notions of discrimination and equality on the other, is often unclear, leading to misunderstandings between computer science and law. In this paper, we aim to illustrate to what extent European Union (EU) non-discrimination law coincides with notions of algorithmic fairness proposed in computer science literature and where they differ. Ultimately, we show that metaphors depicting the law as a decision tree are misguiding. We suggest moving away from asking what should be equal, and towards asking why a particular distribution of burdens and benefits is right in a given context.

KW - discrimination

KW - EU law

KW - fairness metrics

KW - legal compliance

KW - technical interventions

U2 - 10.1145/3593013.3594044

DO - 10.1145/3593013.3594044

M3 - Conference article

AN - SCOPUS:85168314750

VL - 3442

SP - 805

EP - 816

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

Y2 - 7 June 2023 through 9 June 2023

ER -

ID: 368339842