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DC Field | Value | Language |
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dc.contributor.author | Vassilopoulou, J | - |
dc.contributor.author | Kyriakidou, O | - |
dc.contributor.author | Özbilgin, MF | - |
dc.contributor.author | Groutsis, D | - |
dc.date.accessioned | 2022-01-05T16:23:59Z | - |
dc.date.available | 2022-01-05T16:23:59Z | - |
dc.date.issued | 2022-01-04 | - |
dc.identifier.citation | Vassilopoulou, J., Kyriakidou O., Özbilgin, M.F. and Groutsis, D. (2022) 'Scientism as illusio in HR algorithms: Towards a framework for algorithmic hygiene for bias proofing', Human Resource Management Journal, 0 (in press), pp. 1-15 (15). doi: 10.1111/1748-8583.12430. | en_US |
dc.identifier.issn | 0954-5395 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23874 | - |
dc.description.abstract | Copyright © 2022 The Authors. Human Resource (HR) algorithms are now widely used for decision making in the field of HR. In this paper, we examine how biases may become entrenched in HR algorithms, which are often designed without consultation with HR specialists, assumed to operate with scientific objectivity and often viewed as instruments beyond scrutiny. Using three orienting concepts such as scientism, illusio and rationales, we demonstrate why and how biases of HR algorithms go unchecked and in turn may perpetuate the biases in HR systems and consequent HR decisions. Based on a narrative review, we examine bias in HR algorithms; provide a methodology for algorithmic hygiene for HR professionals. | en_US |
dc.format.extent | 1 - 15 (15) | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | John Wiley & Sons Ltd. | en_US |
dc.rights | Copyright © 2022 The Authors. Human Resource Management Journal published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | artificial intelligence | en_US |
dc.subject | HR algorithmic bias | en_US |
dc.subject | illusio | en_US |
dc.subject | performativity | en_US |
dc.subject | scientism | en_US |
dc.subject | sociomateriality | en_US |
dc.title | Scientism as illusio in HR algorithms: Towards a framework for algorithmic hygiene for bias proofing | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1111/1748-8583.12430 | - |
dc.relation.isPartOf | Human Resource Management Journal | - |
pubs.issue | 0 | - |
pubs.publication-status | Published online | - |
pubs.volume | 0 | - |
dc.identifier.eissn | 1748-8583 | - |
dc.rights.holder | The Authors | - |
Appears in Collections: | Brunel Business School Research Papers |
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