December 7, 2022

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Nature Medicine (2022)
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The ethical impact of AI algorithms in healthcare should be assessed at each phase, from data creation to model deployment, so that their use narrows rather than widens inequalities.
Artificial intelligence (AI) has the potential to revolutionize many aspects of clinical care, but it can also lead to patient and community harm, the misallocation of health resources and the exacerbation of existing health inequities, which greatly threaten its overall efficacy and social impact1. These issues have prompted the movement toward ethical AI, a field devoted to raising and addressing ethical issues related to the development and application of AI.
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Research reported in this publication was supported by the Agency for Health Research & Quality under award no. R01HS027434; the Ethics, Society, and Technology Hub at Stanford University; and the Gordon and Betty Moore Foundation under grant number 10848 The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders.
These authors contributed equally: Madelena Y. Ng, Supriya Kapur.
Department of Medicine, Stanford University, Stanford, CA, USA
Madelena Y. Ng & Tina Hernandez-Boussard
All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
Supriya Kapur & Katherine D. Blizinsky
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T.H.B. and K.D.B. conceptualized the Comment, M.Y.N. and S.K. wrote the initial draft and contributed equally, and all authors edited and critically revised the final manuscript.
Correspondence to Tina Hernandez-Boussard.
The authors declare no competing interests.
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Ng, M.Y., Kapur, S., Blizinsky, K.D. et al. The AI life cycle: a holistic approach to creating ethical AI for health decisions. Nat Med (2022).
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Nature Medicine (Nat Med) ISSN 1546-170X (online) ISSN 1078-8956 (print)
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