AI and Inequality in Hiring and Recruiting: A Field Scan

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dc.contributor.authorDinika, Adio-Adet
dc.contributor.authorSloane, Mona
dc.date.accessioned2023-10-30T14:23:41Z
dc.date.available2023-10-30T14:23:41Z
dc.date.issued2023
dc.description.abstractThis 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
dc.description.sponsorshipThis work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII121, 16DII122, 16DII123, 16DII124, 16DII125, 16DII126, 16DII127, 16DII128 – “Deutsches Internet-Institut”).
dc.identifier.citationDinika, A.-A., & Sloane, M. (2023). AI and Inequality in Hiring and Recruiting: A Field Scan. Weizenbaum Conference Proceedings 2023. AI, Big Data, Social Media, and People on the Move, 23–35. https://doi.org/10.34669/wi.cp/5.3
dc.identifier.doihttps://doi.org/10.34669/wi.cp/5.3
dc.identifier.issn2510-7666
dc.identifier.urihttps://doi.org/10.34669/wi.cp/5.3
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/394
dc.language.isoeng
dc.publisherWeizenbaum Institute
dc.relation.ispartofhttps://doi.org/10.34669/wi.cp/5
dc.relation.ispartofseriesWeizenbaum Conference Proceedings
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial Intelligence
dc.subjectRecruiting
dc.subjectInequality
dc.subjectStem
dc.subjectGender
dc.subjectBias
dc.subject.ddc600 Technik
dc.subject.ddc330 Wirtschaft
dc.titleAI and Inequality in Hiring and Recruiting: A Field Scan
dc.typeConferencePaper
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.originalpublisherplaceBerlin
dcterms.bibliographicCitation.pageend35
dcterms.bibliographicCitation.pagestart23
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Proceedings of the Weizenbaum Conference 2023. AI, Big Data, Social Media and People on the Move