Mitigating cognitive biases in developing AI-assisted recruitment systems: A knowledge-sharing approach

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dc.citation.issue1
dc.citation.volume18
dc.contributor.authorSoleimani M
dc.contributor.authorIntezari A
dc.contributor.authorPauleen DJ
dc.date.accessioned2024-06-03T23:24:06Z
dc.date.available2024-06-03T23:24:06Z
dc.date.issued2022
dc.description.abstractArtificial intelligence (AI) is increasingly embedded in business processes, including the human resource (HR) recruitment process. While AI can expedite the recruitment process, evidence from the industry, however, shows that AI-recruitment systems (AIRS) may fail to achieve unbiased decisions about applicants. There are risks of encoding biases in the datasets and algorithms of AI which lead AIRS to replicate and amplify human biases. To develop less biased AIRS, collaboration between HR managers and AI developers for training algorithms and exploring algorithmic biases is vital. Using an exploratory research design, 35 HR managers and AI developers globally were interviewed to understand the role of knowledge sharing during their collaboration in mitigating biases in AIRS. The findings show that knowledge sharing can help to mitigate biases in AIRS by informing data labeling, understanding job functions, and improving the machine learning model. Theoretical contributions and practical implications are suggested.
dc.description.confidentialfalse
dc.format.pagination1-18
dc.identifier.citationSoleimani M, Intezari A, Pauleen DJ. (2022). Mitigating cognitive biases in developing ai-assisted recruitment systems: A knowledge-sharing approach. International Journal of Knowledge Management. 18. 1. (pp. 1-18).
dc.identifier.doi10.4018/IJKM.290022
dc.identifier.eissn1548-0658
dc.identifier.elements-typejournal-article
dc.identifier.issn1548-0666
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/69712
dc.languageEnglish
dc.publisherIGI Global
dc.publisher.urihttps://www.igi-global.com/gateway/article/290022
dc.relation.isPartOfInternational Journal of Knowledge Management
dc.rights(c) The author/sen
dc.rights.licenseCC BYen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectAI Developers
dc.subjectAlgorithms
dc.subjectArtificial Intelligence
dc.subjectCognitive Biases
dc.subjectDatasets
dc.subjectHR Managers
dc.subjectKnowledge Sharing
dc.subjectRecruitment
dc.titleMitigating cognitive biases in developing AI-assisted recruitment systems: A knowledge-sharing approach
dc.typeJournal article
pubs.elements-id449574
pubs.organisational-groupOther
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