Titre

Artificial Intelligence and Gender-Based Discrimination

Type
chapitre
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Auteur(s)
Luetz, Fabian
Auteure/Auteur
Éditeur(s)
Quintavalla, Alberto
Temperman, Jeroen
Liens vers les personnes
Liens vers les unités
Maison d’édition
Oxford University Press
Titre du livre ou conférence/colloque
Human Rights and Artificial Intelligence
Statut éditorial
Publié
Date de publication
2023-09-06
Peer-reviewed
Oui
Langue
anglais
Résumé
This chapter explores the negative and positive effects of algorithms on human rights and gender-based discrimination, presents the existing legal framework including its shortcomings and the main constitutive elements of a future human rights law framework on algorithmic gender-based discrimination. Rather than being neutral and overcoming all potential decision-making errors of humans, algorithms perform only as accurately as the design of the algorithm and the underlying (training) data. Data as source of bias, inaccuracy and discrimination can reflect existing inequalities and stereotypes in society and reinforce discrimination. Beyond the regulation of algorithms’ potential negative impacts for society, the chapter argues for an intelligent use of the advantages associated with AI, such as to detect gender discriminations, and more generally achieving less biased and noisy decision making. Although the importance and ubiquitous presence of Artificial Intelligence and the risk of algorithmic discrimination has been recognized in policy documents, no specific legal instrument has been adopted at UN level. Against this background, this chapter sketches out avenues for regulation from a human rights law perspective and it advocates for a hybrid approach ensuring the respect of human rights and the principle of gender equality both at global (UN) and at local (regional and national) level.
https://global.oup.com/academic/product/artificial-intelligence-and-human-rights-9780192882486?cc=ch&lang=en&
https://global.oup.com/academic/covers/pdp/9780192882486
PID Serval
serval:BIB_713C72773436
Permalien
URL éditeur
Date de création
2023-02-09T15:32:52.883Z
Date de création dans IRIS
2025-05-21T02:09:02Z