SHIFTing artificial intelligence to be responsible in healthcare: A systematic review

A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare have emerged as AI becomes increasingly applicable and technologically advanced. The last decade has witnessed significant endeavors in striking a balance between ethical considerations and health transform...

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Vydané v:Social science & medicine (1982) Ročník 296; s. 114782
Hlavní autori: Siala, Haytham, Wang, Yichuan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Elsevier Ltd 01.03.2022
Pergamon Press Inc
Predmet:
AI ethics
Artificial Intelligence
Delivery of Health Care
Digital health
Ethics
Exegesis & hermeneutics
Governance
Health care
Health Facilities
Health services
Health-medicine
Humans
Intelligence
Literature reviews
Medical personnel
Meta-analysis
Morals
Policy making
Responsible artificial intelligence (AI)
Systematic literature review
Systematic review
Technology
Transformation
Transparency
Virtue ethics
AI ethics
Digital health
Virtue ethics
Responsible artificial intelligence (AI)
Health-medicine
Systematic literature review
ISSN:0277-9536, 1873-5347, 1873-5347
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Popis
Shrnutí:A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare have emerged as AI becomes increasingly applicable and technologically advanced. The last decade has witnessed significant endeavors in striking a balance between ethical considerations and health transformation led by AI. Despite a growing interest in AI ethics, implementing AI-related technologies and initiatives responsibly in healthcare settings remains a challenge. In response to this topical challenge, we reviewed 253 articles pertaining to AI ethics in healthcare published between 2000 and 2020, summarizing the coherent themes of responsible AI initiatives. A preferred reporting items for systematic review and meta-analysis (PRISMA) approach was employed to screen and select articles, and a hermeneutic approach was adopted to conduct systematic literature review. By synthesizing relevant knowledge from AI governance and ethics, we propose a responsible AI initiative framework that encompasses five core themes for AI solution developers, healthcare professionals, and policy makers. These themes are summarized in the acronym SHIFT: Sustainability, Human centeredness, Inclusiveness, Fairness, and Transparency. In addition, we unravel the key issues and challenges concerning responsible AI use in healthcare, and outline avenues for future research. •This review identifies responsible AI initiatives in healthcare.•A framework for shifting AI to be responsible in healthcare is proposed.•A guide of responsible AI implementation is provided to healthcare communities
Bibliografia:ObjectType-Article-1
ObjectType-Evidence Based Healthcare-3
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0277-9536
1873-5347
1873-5347
DOI:10.1016/j.socscimed.2022.114782