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Main Authors: de Jonge, Tim, Borgesius, Frederik Zuiderveen
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.15828
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author de Jonge, Tim
Borgesius, Frederik Zuiderveen
author_facet de Jonge, Tim
Borgesius, Frederik Zuiderveen
contents In 2023, the Netherlands Institute for Human Rights, the Dutch non-discrimination authority, decided that Breeze, a Dutch dating app, was justified in suspecting that their algorithm discriminated against dark-skinned users. Consequently, the Institute decided that Breeze must prevent this discrimination based on ethnicity. This paper analyses the decision and explores three questions.What are the main points of the Breeze decision? Is the discrimination based on ethnicity in Breeze's matching algorithm illegal? We also explore a more general question: how can dating apps mitigate or stop discrimination in their matching algorithms? We illustrate the legal and technical difficulties dating apps face in tackling discrimination and highlight some promising solutions. We analyse the Breeze decision in-depth, combining insights from computer science and law. We discuss the implications of this judgment for scholarship and practice in the field of fair and non-discriminatory machine learning.
format Preprint
id arxiv_https___arxiv_org_abs_2409_15828
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Digital Discrimination in Dating Apps and the Dutch Breeze case
de Jonge, Tim
Borgesius, Frederik Zuiderveen
Computers and Society
Information Retrieval
In 2023, the Netherlands Institute for Human Rights, the Dutch non-discrimination authority, decided that Breeze, a Dutch dating app, was justified in suspecting that their algorithm discriminated against dark-skinned users. Consequently, the Institute decided that Breeze must prevent this discrimination based on ethnicity. This paper analyses the decision and explores three questions.What are the main points of the Breeze decision? Is the discrimination based on ethnicity in Breeze's matching algorithm illegal? We also explore a more general question: how can dating apps mitigate or stop discrimination in their matching algorithms? We illustrate the legal and technical difficulties dating apps face in tackling discrimination and highlight some promising solutions. We analyse the Breeze decision in-depth, combining insights from computer science and law. We discuss the implications of this judgment for scholarship and practice in the field of fair and non-discriminatory machine learning.
title Digital Discrimination in Dating Apps and the Dutch Breeze case
topic Computers and Society
Information Retrieval
url https://arxiv.org/abs/2409.15828