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Lookup NU author(s): Dr Weisha Wang
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Artificial Intelligence (AI) technology is transforming the healthcare sector. However, despite this, the associated ethical implications remain open to debate. This research investigates how signals of AI responsibility impact healthcare practitioners’ attitudes toward AI, satisfaction with AI, AI usage intentions, including the underlying mechanisms. Our research outlines autonomy, beneficence, explainability, justice, and non-maleficence as the five key signals of AI responsibility for healthcare practitioners. The findings reveal that these five signals significantly increase healthcare practitioners’ engagement, which subsequently leads to more favourable attitudes, greater satisfaction, and higher usage intentions with AI technology. Moreover, ‘techno-overload’ as a primary ‘techno-stressor’ moderates the mediating effect of engagement on the relationship between AI justice and behavioural and attitudinal outcomes. When healthcare practitioners perceive AI technology as adding extra workload, such techno-overload will undermine the importance of the justice signal and subsequently affect their attitudes, satisfaction, and usage intentions with AI technology.
Author(s): Wang W, Chen L, Xiong M, Wang Y
Publication type: Article
Publication status: Published
Journal: Information Systems Frontiers
Year: 2023
Volume: 25
Pages: 2239-2256
Print publication date: 01/12/2023
Online publication date: 29/06/2021
Acceptance date: 01/06/2021
Date deposited: 14/01/2022
ISSN (print): 1387-3326
ISSN (electronic): 1572-9419
Publisher: Springer Nature
URL: https://doi.org/10.1007/s10796-021-10154-4
DOI: 10.1007/s10796-021-10154-4
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