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TARGET ARTICLE

Identifying Ethical Considerations for Machine Learning Healthcare Applications

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Danton Char. (2022) Important Design Questions for Algorithmic Ethics Consultation. The American Journal of Bioethics 22:7, pages 38-40.
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Danton Char. (2022) Challenges of Local Ethics Review in a Global Healthcare AI Market. The American Journal of Bioethics 22:5, pages 39-41.
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Michaela Hardt & Marshall H. Chin. (2020) It is Time for Bioethicists to Enter the Arena of Machine Learning Ethics. The American Journal of Bioethics 20:11, pages 18-20.
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Junaid Nabi. (2020) Addressing the “Wicked” Problems in Machine Learning Applications – Time for Bioethical Agility. The American Journal of Bioethics 20:11, pages 25-27.
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Melissa D. McCradden, James A. Anderson & Randi Zlotnik Shaul. (2020) Accountability in the Machine Learning Pipeline: The Critical Role of Research Ethics Oversight. The American Journal of Bioethics 20:11, pages 40-42.
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Eric S. Swirsky, Carol Gu & Andrew D. Boyd. (2020) An Ethical Framework to Nowhere. The American Journal of Bioethics 20:11, pages 30-32.
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Joshua August Skorburg. (2020) What Counts as “Clinical Data” in Machine Learning Healthcare Applications?. The American Journal of Bioethics 20:11, pages 27-30.
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Ma'n Zawati & Michael Lang. (2020) What’s in the Box?: Uncertain Accountability of Machine Learning Applications in Healthcare. The American Journal of Bioethics 20:11, pages 37-40.
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Helene Gerhards, Karsten Weber, Uta Bittner & Heiner Fangerau. (2020) Machine Learning Healthcare Applications (ML-HCAs) Are No Stand-Alone Systems but Part of an Ecosystem – A Broader Ethical and Health Technology Assessment Approach is Needed. The American Journal of Bioethics 20:11, pages 46-48.
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Kristine Bærøe, Maarten Jansen & Angeliki Kerasidou. (2020) Machine Learning in Healthcare: Exceptional Technologies Require Exceptional Ethics. The American Journal of Bioethics 20:11, pages 48-51.
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Niranjan S. Karnik, Majid Afshar, Matthew M. Churpek & Marcella Nunez-Smith. (2020) Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning. The American Journal of Bioethics 20:11, pages 35-37.
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Amelia Fiske, Daniel Tigard, Ruth Müller, Sami Haddadin, Alena Buyx & Stuart McLennan. (2020) Embedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications. The American Journal of Bioethics 20:11, pages 32-35.
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Jess Findley, Andrew Woods, Christopher Robertson & Marv Slepian. (2020) Keeping the Patient at the Center of Machine Learning in Healthcare. The American Journal of Bioethics 20:11, pages 54-56.
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Anna C. F. Lewis. (2020) Where Bioethics Meets Machine Ethics. The American Journal of Bioethics 20:11, pages 22-24.
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Stuart McLennan, Meredith M. Lee, Amelia Fiske & Leo Anthony Celi. (2020) AI Ethics Is Not a Panacea. The American Journal of Bioethics 20:11, pages 20-22.
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Benjamin D. Horne, Dorit Nevo & Susan L. Smith. Ethical and safety considerations in automated fake news detection. Behaviour & Information Technology 0:0, pages 1-22.
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