- Artificial intelligence paternalism.Ricardo Diaz Milian & Anirban Bhattacharyya - 2023 - Journal of Medical Ethics 49 (3):183-184.details
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Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable.Auste Simkute, Ewa Luger, Bronwyn Jones, Michael Evans & Rhianne Jones - 2021 - Journal of Responsible Technology 7-8 (C):100017.details
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Explaining Machine Learning Decisions.John Zerilli - 2022 - Philosophy of Science 89 (1):1-19.details
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Scientific Exploration and Explainable Artificial Intelligence.Carlos Zednik & Hannes Boelsen - 2022 - Minds and Machines 32 (1):219-239.details
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Conceptual challenges for interpretable machine learning.David S. Watson - 2022 - Synthese 200 (2):1-33.details
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The Right to Explanation.Kate Vredenburgh - 2021 - Journal of Political Philosophy 30 (2):209-229.details
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Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary?Frank Ursin, Cristian Timmermann & Florian Steger - 2022 - Bioethics 36 (2):143-153.details
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Exploring the phenomenon and ethical issues of AI paternalism in health apps.Michael Kühler - 2021 - Bioethics 36 (2):194-200.details
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(2 other versions)The explanation game: a formal framework for interpretable machine learning.David S. Watson & Luciano Floridi - 2020 - Synthese 198 (10):1–32.details
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Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence.Carlos Zednik - 2019 - Philosophy and Technology 34 (2):265-288.details
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Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.details
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Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice.David S. Watson, Limor Gultchin, Ankur Taly & Luciano Floridi - 2022 - Minds and Machines 32 (1):185-218.details
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(4 other versions)Political Liberalism.J. Rawls - 1995 - Tijdschrift Voor Filosofie 57 (3):596-598.details
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(2 other versions)The explanation game: a formal framework for interpretable machine learning.David S. Watson & Luciano Floridi - 2021 - Synthese 198 (10):9211-9242.details
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Algorithmic Accountability In the Making.Deborah G. Johnson - 2021 - Social Philosophy and Policy 38 (2):111-127.details
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AI decision-support: a dystopian future of machine paternalism?David D. Luxton - 2022 - Journal of Medical Ethics 48 (4):232-233.details
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Explainable machine learning practices: opening another black box for reliable medical AI.Emanuele Ratti & Mark Graves - 2022 - AI and Ethics:1-14.details
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Artificial intelligence in medicine and the disclosure of risks.Maximilian Kiener - 2021 - AI and Society 36 (3):705-713.details
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AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind.Jocelyn Maclure - 2021 - Minds and Machines 31 (3):421-438.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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A riddle, wrapped in a mystery, inside an enigma: How semantic black boxes and opaque artificial intelligence confuse medical decision‐making.Robin Pierce, Sigrid Sterckx & Wim Van Biesen - 2021 - Bioethics 36 (2):113-120.details
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Cynthia Rudin - 2019 - Nature Machine Intelligence 1.details
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Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?Chang Ho Yoon, Robert Torrance & Naomi Scheinerman - 2022 - Journal of Medical Ethics 48 (9):581-585.details
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Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.A. Barredo Arrieta, N. Díaz-Rodríguez, J. Ser, A. Bennetot, S. Tabik & A. Barbado - 2020 - Information Fusion 58.details
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On the Ethical and Epistemological Utility of Explicable AI in Medicine.Christian Herzog - 2022 - Philosophy and Technology 35 (2):1-31.details
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Integrating Artificial Intelligence in Scientific Practice: Explicable AI as an Interface.Emanuele Ratti - 2022 - Philosophy and Technology 35 (3):1-5.details
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