Reproduction of social biases through AI: a study on AI developers' awareness on social biases

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dc.authorid0009-0009-0923-0914
dc.authorid0000-0003-1590-4689
dc.contributor.authorŞahin, Aylinen_US
dc.contributor.authorPandır, Müzeyyenen_US
dc.date.accessioned2026-01-09T14:28:35Z
dc.date.available2026-01-09T14:28:35Z
dc.date.issued2023-12-11
dc.departmentIşık Üniversitesi, İktisadi, İdari ve Sosyal Bilimler Fakültesi, İnsan ve Toplum Bilimleri Bölümüen_US
dc.departmentIşık University, Faculty of Economics, Administrative and Social Sciences, Department of Humanities and Social Sciencesen_US
dc.description.abstractArtificial Intelligence (AI) stands as an evolving and controversial force, changing the way of work in numerous sectors including education, art, finance, health, transportation, and security, also having influences over daily lives. While discussions often revolve around the technological breakthroughs and economic ramifications of AI, it is imperative to recognize and address the social impacts and consequences it carries, particularly with respect to potential social biases and discriminations that it will (re)produce or contribute to. This study explores AI developers' awareness and perspectives on gender, race and ethnicity-based biases in general, and how AI may contribute to these in particular. Surveys were conducted with 60 professionals working in different areas of AI and related issues. The findings revealed relatively informed understandings of the concepts of gender, race and ethnicity, whereas a lack of awareness among participants about prejudice. The study discusses that while considering what new technologies bring to society, it is crucial to understand how these new technologies may perpetuate existing social problems. To prevent such developments, it is crucial that those who play a role in the development of these technologies have an informed and ethical perspective towards the reproduction of social inequalities, for building more inclusive societies.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationŞahin, A. & Pandır, M. (2023). Reproduction of social biases through AI: a study on AI developers' awareness on social biases. Paper presented at the 6th International Congress on Human Studies, 47-47.en_US
dc.identifier.endpage47
dc.identifier.isbn9786256488571
dc.identifier.startpage47
dc.identifier.urihttps://hdl.handle.net/11729/6886
dc.identifier.urihttps://www.ichus.org/6-ichus/
dc.institutionauthorŞahin, Aylinen_US
dc.institutionauthorPandır, Müzeyyenen_US
dc.institutionauthorid0009-0009-0923-0914
dc.institutionauthorid0000-0003-1590-4689
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherBIDGE Publicationsen_US
dc.relation.ispartof6th International Congress on Human Studiesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Öğrencien_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSocial biasen_US
dc.subjectPrejudiceen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectSocial implications of technologyen_US
dc.titleReproduction of social biases through AI: a study on AI developers' awareness on social biasesen_US
dc.typeConference Objecten_US
dspace.entity.typePublicationen_US

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