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Do no harm: A roadmap for responsible machine learning for health care
Nature Medicine 25 (2019)
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Citations of this work
A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning.Melissa D. McCradden, James A. Anderson, Elizabeth A. Stephenson, Erik Drysdale, Lauren Erdman, Anna Goldenberg & Randi Zlotnik Shaul - 2022 - American Journal of Bioethics 22 (5):8-22.
Artificial intelligence for good health: a scoping review of the ethics literature.Jennifer Gibson, Vincci Lui, Nakul Malhotra, Jia Ce Cai, Neha Malhotra, Donald J. Willison, Ross Upshur, Erica Di Ruggiero & Kathleen Murphy - 2021 - BMC Medical Ethics 22 (1):1-17.
Epistemic Rights and Responsibilities of Digital Simulacra for Biomedicine.Mildred K. Cho & Nicole Martinez-Martin - 2022 - American Journal of Bioethics 23 (9):43-54.
High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare.Maelenn Corfmat, Joé T. Martineau & Catherine Régis - 2025 - BMC Medical Ethics 26 (1):1-19.
Doing versus saying: responsible AI among large firms.Jacques Bughin - 2025 - AI and Society 40 (4):2751-2763.
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