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Identifying Ethical Considerations for Machine Learning Healthcare Applications.Danton S. Char, Michael D. Abràmoff & Chris Feudtner - 2020 - American Journal of Bioethics 20 (11):7-17.details
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Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI.Juan Manuel Durán & Karin Rolanda Jongsma - 2021 - Journal of Medical Ethics 47 (5):medethics - 2020-106820.details
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Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability.Alex John London - 2019 - Hastings Center Report 49 (1):15-21.details
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AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations.Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke & Effy Vayena - 2018 - Minds and Machines 28 (4):689-707.details
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The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2021 - AI and Society.details
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The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2022 - AI and Society 37 (1):215-230.details
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Towards a pragmatist dealing with algorithmic bias in medical machine learning.Georg Starke, Eva De Clercq & Bernice S. Elger - 2021 - Medicine, Health Care and Philosophy 24 (3):341-349.details
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Ageism in the COVID-19 pandemic: age-based discrimination in triage decisions and beyond.Jon Rueda - 2021 - History and Philosophy of the Life Sciences 43 (3):1-7.details
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A Misdirected Principle with a Catch: Explicability for AI.Scott Robbins - 2019 - Minds and Machines 29 (4):495-514.details
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Ethics-based auditing to develop trustworthy AI.Jakob Mökander & Luciano Floridi - 2021 - Minds and Machines.details
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Ethics-based auditing to develop trustworthy AI.Jakob Mökander & Luciano Floridi - 2021 - Minds and Machines 31 (2):323–327.details
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Ethical Implications and Accountability of Algorithms.Kirsten Martin - 2018 - Journal of Business Ethics 160 (4):835-850.details
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Enabling Fairness in Healthcare Through Machine Learning.Geoff Keeling & Thomas Grote - 2022 - Ethics and Information Technology 24 (3):1-13.details
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On statistical criteria of algorithmic fairness.Brian Hedden - 2021 - Philosophy and Public Affairs 49 (2):209-231.details
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Coming to Terms with the Black Box Problem: How to Justify AI Systems in Health Care.Ryan Marshall Felder - 2021 - Hastings Center Report 51 (4):38-45.details
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Dissecting scientific explanation in AI (sXAI): A case for medicine and healthcare.Juan M. Durán - 2021 - Artificial Intelligence 297 (C):103498.details
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Utilitarianism.J. S. Mill - 1861 - Oxford University Press UK. Edited by Roger Crisp.details
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Clinical applications of machine learning algorithms: beyond the black box.David S. Watson, Jenny Krutzinna, Ian N. Bruce, Christopher E. M. Griffiths, Iain B. McInnes, Michael R. Barnes & Luciano Floridi - 2019 - British Medical Journal 364:I886.details
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An Introduction to the Principles of Morals and Legislation.J. H. Burns, H. L. A. Hart & Jeremy Bentham - 1972 - Philosophy 47 (179):74-79.details
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