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Justice at the Forefront: Cultivating felt accountability towards Artificial Intelligence among healthcare professionals.
Wang, Weisha; Wang, Yichuan; Chen, Long; Ma, Rui; Zhang, Minhao.
Afiliação
  • Wang W; Research Center for Smarter Supply Chain, Business School, Soochow University, 50 Donghuan Road, Suzhou, 215006, China. Electronic address: wswang1004@suda.edu.cn.
  • Wang Y; Sheffield University Management School, University of Sheffield, Conduit Rd, Sheffield, S10 1FL, United Kingdom. Electronic address: yichuan.wang@sheffield.ac.uk.
  • Chen L; Brunel University London, United Kingdom. Electronic address: long.chen@brunel.ac.uk.
  • Ma R; Greenwich Business School, University of Greenwich, United Kingdom. Electronic address: rui.ma@greenwich.ac.uk.
  • Zhang M; University of Bristol School of Management, University of Bristol, United Kingdom. Electronic address: minhao.zhang@bristol.ac.uk.
Soc Sci Med ; 347: 116717, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38518481
ABSTRACT
The 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Responsabilidade Social / Inteligência Artificial Limite: Humans Idioma: En Revista: Soc Sci Med Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Responsabilidade Social / Inteligência Artificial Limite: Humans Idioma: En Revista: Soc Sci Med Ano de publicação: 2024 Tipo de documento: Article