Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28486
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dc.contributor.authorWang, W-
dc.contributor.authorWang, Y-
dc.contributor.authorChen, L-
dc.contributor.authorMa, R-
dc.contributor.authorMinhao, Z-
dc.date.accessioned2024-03-07T17:23:26Z-
dc.date.available2024-03-07T17:23:26Z-
dc.date.issued2024-03-
dc.identifierORCiD: Weisha Wang https://orcid.org/0000-0002-2985-3416-
dc.identifierORCiD: Yichuan Wang https://orcid.org/0000-0003-1575-0245-
dc.identifierORCiD: Long Chen https://orcid.org/0000-0002-6647-305X-
dc.identifier116717-
dc.identifier.citationWang, W. et al. (2024) 'Justice at the Forefront: Cultivating felt accountability towards Artificial Intelligence among healthcare professionals ', Social Science and Medicine, 347, 116717, pp. 1 - 11. doi: 10.1016/j.socscimed.2024.116717.en_US
dc.identifier.issn0277-9536-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/28486-
dc.descriptionData availability: Data will be made available on request.-
dc.descriptionSupplementary data are available online at: https://www.sciencedirect.com/science/article/pii/S0277953624001618?via%3Dihub#appsec1 .-
dc.description.abstractThe advent of AI has ushered in a new era of patient care, but with it emerges a contentious debate surrounding accountability for algorithmic medical decisions. Within this discourse, a spectrum of views prevails, ranging from placing accountability on AI solution providers to laying it squarely on the shoulders of healthcare professionals. In response to this debate, this study, grounded in the mutualistic partner choice (MPC) model of the evolution of morality, seeks to establish a configurational framework for cultivating felt accountability towards AI among healthcare professionals. This framework underscores two pivotal conditions: AI ethics enactment and trusting belief in AI and considers the influence of organizational complexity in the implementation of this framework. Drawing on Fuzzy-set Qualitative Comparative Analysis (fsQCA) of a sample of 401 healthcare professionals, this study reveals that a) focusing justice and autonomy in AI ethics enactment along with building trusting belief in AI reliability and functionality reinforces healthcare professionals’ sense of felt accountability towards AI, b) fostering felt accountability towards AI necessitates ensuring the establishment of trust in its functionality for high complexity hospitals, and c) prioritizing justice in AI ethics enactment and trust in AI reliability is essential for low complexity hospitals.en_US
dc.description.sponsorshipNational Natural Science Foundation of China (Grants number 72372111).en_US
dc.format.extent1 - 11-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectfelt accountabilityen_US
dc.subjectartificial intelligence (AI)en_US
dc.subjectethical principlesen_US
dc.subjecttrusting belief in AIen_US
dc.subjectfsQCAen_US
dc.subjecthealthcareen_US
dc.titleJustice at the Forefront: Cultivating felt accountability towards Artificial Intelligence among healthcare professionalsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.socscimed.2024.116717-
dc.relation.isPartOfSocial Science and Medicine-
pubs.publication-statusPublished-
pubs.volume347-
dc.identifier.eissn1873-5347-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dc.rights.holderThe Authors-
Appears in Collections:Brunel Business School Research Papers

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