- Anticipatory ethics for emerging technologies.Philip A. E. Brey - 2012 - NanoEthics 6 (1):1-13.details
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AI Ethics Is Not a Panacea.Stuart McLennan, Meredith M. Lee, Amelia Fiske & Leo Anthony Celi - 2020 - American Journal of Bioethics 20 (11):20-22.details
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An Ethical Framework to Nowhere.Eric S. Swirsky, Carol Gu & Andrew D. Boyd - 2020 - American Journal of Bioethics 20 (11):30-32.details
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It is Time for Bioethicists to Enter the Arena of Machine Learning Ethics.Michaela Hardt & Marshall H. Chin - 2020 - American Journal of Bioethics 20 (11):18-20.details
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What Counts as “Clinical Data” in Machine Learning Healthcare Applications?Joshua August Skorburg - 2020 - American Journal of Bioethics 20 (11):27-30.details
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Deepening the Normative Evaluation of Machine Learning Healthcare Application by Complementing Ethical Considerations with Regulatory Governance.Calvin Wai-Loon Ho - 2020 - American Journal of Bioethics 20 (11):43-45.details
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What Values in Design? The Challenge of Incorporating Moral Values into Design.Noëmi Manders-Huits - 2011 - Science and Engineering Ethics 17 (2):271-287.details
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Machine Learning in Healthcare: Exceptional Technologies Require Exceptional Ethics.Kristine Bærøe, Maarten Jansen & Angeliki Kerasidou - 2020 - American Journal of Bioethics 20 (11):48-51.details
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Where Bioethics Meets Machine Ethics.Anna C. F. Lewis - 2020 - American Journal of Bioethics 20 (11):22-24.details
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What’s in the Box?: Uncertain Accountability of Machine Learning Applications in Healthcare.Ma'N. Zawati & Michael Lang - 2020 - American Journal of Bioethics 20 (11):37-40.details
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An Evaluation of the Pipeline Framework for Ethical Considerations in Machine Learning Healthcare Applications: The Case of Prediction from Functional Neuroimaging Data.Dawson J. Overton - 2020 - American Journal of Bioethics 20 (11):56-58.details
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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.Helene Gerhards, Karsten Weber, Uta Bittner & Heiner Fangerau - 2020 - American Journal of Bioethics 20 (11):46-48.details
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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.details
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Accountability in the Machine Learning Pipeline: The Critical Role of Research Ethics Oversight.Melissa D. McCradden, James A. Anderson & Randi Zlotnik Shaul - 2020 - American Journal of Bioethics 20 (11):40-42.details
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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.details
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Respect and Trustworthiness in the Patient-Provider-Machine Relationship: Applying a Relational Lens to Machine Learning Healthcare Applications.Stephanie A. Kraft - 2020 - American Journal of Bioethics 20 (11):51-53.details
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Addressing the “Wicked” Problems in Machine Learning Applications – Time for Bioethical Agility.Junaid Nabi - 2020 - American Journal of Bioethics 20 (11):25-27.details
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Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning.Niranjan S. Karnik, Majid Afshar, Matthew M. Churpek & Marcella Nunez-Smith - 2020 - American Journal of Bioethics 20 (11):35-37.details
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