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The AI life cycle: a holistic approach to creating ethical AI for health decisions

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.

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Fig. 1: Overview of a reimagined AI life cycle.


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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.

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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.

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Correspondence to Tina Hernandez-Boussard.

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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 28, 2247–2249 (2022).

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