AI and Inequality in Hiring and Recruiting: A Field Scan

Dinika, Adio-Adet; Sloane, Mona

[conference paper]

dc.contributor.author	Dinika, Adio-Adet	de
dc.contributor.author	Sloane, Mona	de
dc.date.accessioned	2023-10-17T13:19:23Z
dc.date.available	2023-10-17T13:19:23Z
dc.date.issued	2023	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/89808
dc.description.abstract	This paper provides a field scan of scholarly work on AI and hiring. It addresses the issue that there still is no comprehensive understanding of how technical, social science, and managerial scholarships around AI bias, recruiting, and inequality in the labor market intersect, particularly vis-à-vis the STEM field. It reports on a semi-systematic literature review and identifies three overlapping meta themes: productivity, gender, and AI bias. It critically discusses these themes and makes recommendations for future work.	de
dc.language	en	de
dc.relation.ispartof	89805
dc.subject.ddc	Wirtschaft	de
dc.subject.ddc	Economics	en
dc.subject.ddc	Technik, Technologie	de
dc.subject.ddc	Technology (Applied sciences)	en
dc.subject.other	bias	de
dc.title	AI and Inequality in Hiring and Recruiting: A Field Scan	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.collection	Proceedings of the Weizenbaum Conference 2023: AI, Big Data, Social Media, and People on the Move	de
dc.publisher.country	DEU	de
dc.publisher.city	Berlin	de
dc.subject.classoz	Arbeitsmarktforschung	de
dc.subject.classoz	Labor Market Research	en
dc.subject.classoz	Technikfolgenabschätzung	de
dc.subject.classoz	Technology Assessment	en
dc.subject.thesoz	künstliche Intelligenz	de
dc.subject.thesoz	artificial intelligence	en
dc.subject.thesoz	Ungleichheit	de
dc.subject.thesoz	inequality	en
dc.subject.thesoz	Gender	de
dc.subject.thesoz	gender	en
dc.subject.thesoz	Arbeitsmarkt	de
dc.subject.thesoz	labor market	en
dc.subject.thesoz	Arbeit	de
dc.subject.thesoz	labor	en
dc.subject.thesoz	Diskriminierung	de
dc.subject.thesoz	discrimination	en
dc.subject.thesoz	Personalmanagement	de
dc.subject.thesoz	human resource management	en
dc.subject.thesoz	Rekrutierung	de
dc.subject.thesoz	recruitment	en
dc.rights.licence	Creative Commons - Namensnennung 4.0	de
dc.rights.licence	Creative Commons - Attribution 4.0	en
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10043031
internal.identifier.thesoz	10041153
internal.identifier.thesoz	10076167
internal.identifier.thesoz	10036392
internal.identifier.thesoz	10034931
internal.identifier.thesoz	10038125
internal.identifier.thesoz	10054372
internal.identifier.thesoz	10035821
dc.type.stock	incollection	de
dc.type.document	Konferenzbeitrag	de
dc.type.document	conference paper	en
dc.source.pageinfo	1-13	de
internal.identifier.classoz	20101
internal.identifier.classoz	20800
internal.identifier.document	16
dc.contributor.corporateeditor	Weizenbaum Institute for the Networked Society - The German Internet Institute
dc.source.conference	Weizenbaum Conference "AI, Big Data, Social Media, and People on the Move"	de
dc.event.city	Berlin	de
internal.identifier.corporateeditor	1095
internal.identifier.ddc	330
internal.identifier.ddc	600
dc.identifier.doi	https://doi.org/10.34669/wi.cp/5.3	de
dc.date.conference	2023	de
dc.source.conferencenumber	5	de
dc.description.pubstatus	Erstveröffentlichung	de
dc.description.pubstatus	Primary Publication	en
internal.identifier.licence	16
internal.identifier.pubstatus	5
internal.identifier.review	1
dc.subject.classhort	20100	de
dc.subject.classhort	50200	de
dc.subject.classhort	20800	de
internal.pdf.valid	false
internal.pdf.wellformed	true
internal.pdf.encrypted	false
ssoar.urn.registration	false	de

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Arbeitsmarktforschung
Labor Market Research
Technikfolgenabschätzung
Technology Assessment

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