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A Framework to Evaluate Ethical Considerations with ML-HCA Applications—Valuable, Even Necessary, but Never Comprehensive
American Journal of Bioethics 20 (11):W6-W10 (2020)
Abstract
Machine learning is fundamental to multiple visions of health care’s future, from precision medicine 2020) to a model of health delivery and research...Other Versions
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Citations of this work
What Are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When Using Machine Learning-Driven Decision Aids.Sabine Salloch & Andreas Eriksen - 2024 - American Journal of Bioethics 24 (9):67-78.
Challenges of Local Ethics Review in a Global Healthcare AI Market.Danton Char - 2022 - American Journal of Bioethics 22 (5):39-41.
Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of “Responsibility” in Artificial Intelligence within the Healthcare Context.Sarah Bouhouita-Guermech & Hazar Haidar - 2024 - Asian Bioethics Review 16 (3):315-344.
References found in this work
What Values in Design? The Challenge of Incorporating Moral Values into Design.Noëmi Manders-Huits - 2011 - Science and Engineering Ethics 17 (2):271-287.
Embedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications.Amelia Fiske, Daniel Tigard, Ruth Müller, Sami Haddadin, Alena Buyx & Stuart McLennan - 2020 - American Journal of Bioethics 20 (11):32-35.
Keeping the Patient at the Center of Machine Learning in Healthcare.Jess Findley, Andrew Woods, Christopher Robertson & Marv Slepian - 2020 - American Journal of Bioethics 20 (11):54-56.
What Counts as “Clinical Data” in Machine Learning Healthcare Applications?Joshua August Skorburg - 2020 - American Journal of Bioethics 20 (11):27-30.
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