Cognitive biases in developing biased artificial intelligence recruitment system

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dc.citation.volume2020-January
dc.contributor.authorSoleimani M
dc.contributor.authorIntezari A
dc.contributor.authorTaskin N
dc.contributor.authorPauleen D
dc.contributor.editorBui TX
dc.coverage.spatialMaui, Hawaii, United States of America
dc.date.accessioned2025-05-28T01:59:09Z
dc.date.available2025-05-28T01:59:09Z
dc.date.finish-date2021-01-08
dc.date.issued2021-01-01
dc.date.start-date2021-01-05
dc.description.abstractArtificial Intelligence (AI) in a business context is designed to provide organizations with valuable insight into decision-making and planning. Although AI can help managers make decisions, it may pose unprecedented issues, such as datasets and implicit biases built into algorithms. To assist managers with making unbiased effective decisions, AI needs to be unbiased too. Therefore, it is important to identify biases that may arise in the design and use of AI. One of the areas where AI is increasingly used is the Human Resources recruitment process. This article reports on the preliminary findings of an empirical study answering the question: how do cognitive biases arise in AI? We propose a model to determine people's role in developing AI recruitment systems. Identifying the sources of cognitive biases can provide insight into how to develop unbiased AI. The academic and practical implications of the study are discussed.
dc.description.confidentialfalse
dc.description.place-of-publicationMaui, Hawaii, United States of America
dc.format.pagination5091-5099
dc.identifier.citationSoleimani M, Intezari A, Taskin N, Pauleen D. 2021-01-05 to 2021-01-08. Cognitive biases in developing biased artificial intelligence recruitment system. 54th Hawaii International Conference on System Sciences (HICSS 2021). Maui, Hawaii, United States of America.
dc.identifier.eissn2572-6862
dc.identifier.elements-typeconference
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.issn1530-1605
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72967
dc.publisherUniversity of Hawai‘i at Mānoa
dc.publisher.urihttps://aisel.aisnet.org/hicss-54/ks/big_data_analytics/3/
dc.rights(c) The author/sen
dc.rights.licenseCC BY-NC-NDen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.enen
dc.source.journalProceedings of the Annual Hawaii International Conference on System Sciences
dc.source.name-of-conference54th Hawaii International Conference on System Sciences (HICSS 2021)
dc.titleCognitive biases in developing biased artificial intelligence recruitment system
dc.typeconference
pubs.elements-id446991
pubs.organisational-groupOther
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