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Implementing Ethics in Healthcare AI-Based Applications: A Scoping Review.

A number of Artificial Intelligence (AI) ethics frameworks have been published in the last 6 years in response to the growing concerns posed by the adoption of AI in different sectors, including healthcare. While there is a strong culture of medical ethics in healthcare applications, AI-based Health...

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Published in:Science & Engineering Ethics Vol. 27; no. 5; pp. 1 - 54
Main Authors: Goirand, Magali, Austin, Elizabeth, Clay-Williams, Robyn
Format: Article
Published: Springer Nature Oct2021
Online Access:View this record in EBSCOhost
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      pub: Springer Nature
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          Goirand, Magali
          Austin, Elizabeth
          Clay-Williams, Robyn
        affil: Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
      sug:
      keyword:
        AI
        Bioethics
        Care robots
        CDSS
        Ethics
        Healthcare
        IAT
        Machine learning
      ab: A number of Artificial Intelligence (AI) ethics frameworks have been published in the last 6 years in response to the growing concerns posed by the adoption of AI in different sectors, including healthcare. While there is a strong culture of medical ethics in healthcare applications, AI-based Healthcare Applications (AIHA) are challenging the existing ethics and regulatory frameworks. This scoping review explores how ethics frameworks have been implemented in AIHA, how these implementations have been evaluated and whether they have been successful. AI specific ethics frameworks in healthcare appear to have a limited adoption and they are mostly used in conjunction with other ethics frameworks. The operationalisation of ethics frameworks is a complex endeavour with challenges at different levels: ethics principles, design, technology, organisational, and regulatory. Strategies identified in this review are proactive, contextual, technological, checklist, organisational and/or evidence-based approaches. While interdisciplinary approaches show promises, how an ethics framework is implemented in an AI-based Healthcare Application is not widely reported, and there is a need for transparency for trustworthy AI.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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