- Should the use of adaptive machine learning systems in medicine be classified as research?Robert Sparrow, Joshua Hatherley, Justin Oakley & Chris Bain - forthcoming - American Journal of Bioethics.details
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The virtues of interpretable medical AI.Joshua Hatherley, Robert Sparrow & Mark Howard - forthcoming - Cambridge Quarterly of Healthcare Ethics.details
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What is morally at stake when using algorithms to make medical diagnoses? Expanding the discussion beyond risks and harms.Bas de Boer & Olya Kudina - 2021 - Theoretical Medicine and Bioethics 42 (5):245-266.details
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Why Internal Moral Enhancement Might Be politically Better than External Moral Enhancement.John Danaher - 2016 - Neuroethics 12 (1):39-54.details
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Toward an Ethics of AI Assistants: an Initial Framework.John Danaher - 2018 - Philosophy and Technology 31 (4):629-653.details
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An evaluative conservative case for biomedical enhancement.John Danaher - 2016 - Journal of Medical Ethics 42 (9):611-618.details
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Transparency in Complex Computational Systems.Kathleen A. Creel - 2020 - Philosophy of Science 87 (4):568-589.details
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The ethnographer and the algorithm: beyond the black box.Angèle Christin - 2020 - Theory and Society 49 (5-6):897-918.details
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Legitimacy and automated decisions: the moral limits of algocracy.Bartek Chomanski - 2022 - Ethics and Information Technology 24 (3):1-9.details
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Empiricism in the foundations of cognition.Timothy Childers, Juraj Hvorecký & Ondrej Majer - 2023 - AI and Society 38 (1):67-87.details
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AI employment decision-making: integrating the equal opportunity merit principle and explainable AI.Gary K. Y. Chan - forthcoming - AI and Society:1-12.details
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The agency of the forum: Mechanisms for algorithmic accountability through the lens of agency.Florian Cech - 2021 - Journal of Responsible Technology 7:100015.details
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Technological Literacy for Democracy: a Cost-Benefit Analysis.Manuel Carabantes - 2020 - Philosophy and Technology 34 (4):701-715.details
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Black-box artificial intelligence: an epistemological and critical analysis.Manuel Carabantes - 2020 - AI and Society 35 (2):309-317.details
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Datavisions – On Panoptica, Oligoptica, and (Big) Data.Regine Buschauer - 2016 - International Review of Information Ethics 24.details
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An Analysis of the Interaction Between Intelligent Software Agents and Human Users.Christopher Burr, Nello Cristianini & James Ladyman - 2018 - Minds and Machines 28 (4):735-774.details
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Algorithmic augmentation of democracy: considering whether technology can enhance the concepts of democracy and the rule of law through four hypotheticals.Paul Burgess - 2022 - AI and Society 37 (1):97-112.details
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Managing Algorithmic Accountability: Balancing Reputational Concerns, Engagement Strategies, and the Potential of Rational Discourse.Alexander Buhmann, Johannes Paßmann & Christian Fieseler - 2020 - Journal of Business Ethics 163 (2):265-280.details
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Deep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligence.Alexander Buhmann & Christian Fieseler - forthcoming - Business Ethics Quarterly:1-34.details
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The black box problem revisited. Real and imaginary challenges for automated legal decision making.Bartosz Brożek, Michał Furman, Marek Jakubiec & Bartłomiej Kucharzyk - forthcoming - Artificial Intelligence and Law:1-14.details
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Putting explainable AI in context: institutional explanations for medical AI.Jacob Browning & Mark Theunissen - 2022 - Ethics and Information Technology 24 (2).details
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Primer on an ethics of AI-based decision support systems in the clinic.Matthias Braun, Patrik Hummel, Susanne Beck & Peter Dabrock - 2021 - Journal of Medical Ethics 47 (12):3-3.details
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Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning.Nihad Brahimi, Huaping Zhang, Lin Dai & Jianzi Zhang - 2022 - Complexity 2022:1-20.details
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Just data? Solidarity and justice in data-driven medicine.Matthias Braun & Patrik Hummel - 2020 - Life Sciences, Society and Policy 16 (1):1-18.details
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AI, Opacity, and Personal Autonomy.Bram Vaassen - 2022 - Philosophy and Technology 35 (4):1-20.details
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Two Dimensions of Opacity and the Deep Learning Predicament.Florian J. Boge - 2021 - Minds and Machines 32 (1):43-75.details
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How should we theorize algorithms? Five ideal types in analyzing algorithmic normativities.Lotta Björklund Larsen & Francis Lee - 2019 - Big Data and Society 6 (2).details
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Artificial Intelligence and Patient-Centered Decision-Making.Jens Christian Bjerring & Jacob Busch - 2020 - Philosophy and Technology 34 (2):349-371.details
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Algorithmic Accountability and Public Reason.Reuben Binns - 2018 - Philosophy and Technology 31 (4):543-556.details
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Artificial intelligence and democratic legitimacy. The problem of publicity in public authority.Ludvig Beckman, Jonas Hultin Rosenberg & Karim Jebari - forthcoming - AI and Society:1-10.details
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Toward human-centered algorithm design.Eric P. S. Baumer - 2017 - Big Data and Society 4 (2).details
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The rationality of the digital governmentality.Laurence Barry - 2019 - Journal for Cultural Research 23 (4):365-380.details
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Detecting your depression with your smartphone? – An ethical analysis of epistemic injustice in passive self-tracking apps.Mirjam Faissner, Eva Kuhn, Regina Müller & Sebastian Laacke - 2024 - Ethics and Information Technology 26 (2):1-14.details
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Mental time-travel, semantic flexibility, and A.I. ethics.Marcus Arvan - 2023 - AI and Society 38 (6):2577-2596.details
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AI, big data, and the future of consent.Adam J. Andreotta, Nin Kirkham & Marco Rizzi - 2022 - AI and Society 37 (4):1715-1728.details
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AI as an Epistemic Technology.Ramón Alvarado - 2023 - Science and Engineering Ethics 29 (5):1-30.details
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Tensions in transparent urban AI: designing a smart electric vehicle charge point.Kars Alfrink, Ianus Keller, Neelke Doorn & Gerd Kortuem - 2023 - AI and Society 38 (3):1049-1065.details
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(E)‐Trust and Its Function: Why We Shouldn't Apply Trust and Trustworthiness to Human–AI Relations.Pepijn Al - 2023 - Journal of Applied Philosophy 40 (1):95-108.details
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Defending explicability as a principle for the ethics of artificial intelligence in medicine.Jonathan Adams - 2023 - Medicine, Health Care and Philosophy 26 (4):615-623.details
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The Four Fundamental Components for Intelligibility and Interpretability in AI Ethics.Moto Kamiura - forthcoming - American Philosophical Quarterly.details
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Jaz u odgovornosti u informatičkoj eri.Jelena Mijić - 2023 - Društvo I Politika 4 (4):25-38.details
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On the Opacity of Deep Neural Networks.Anders Søgaard - forthcoming - Canadian Journal of Philosophy:1-16.details
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AI-Testimony, Conversational AIs and Our Anthropocentric Theory of Testimony.Ori Freiman - forthcoming - Social Epistemology.details
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The ethics of uncertainty for data subjects.Philip Nickel - 2019 - In Peter Dabrock, Matthias Braun & Patrik Hummel (eds.), The Ethics of Medical Data Donation. Springer Verlag. pp. 55-74.details
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Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality.Bernd Stahl, Kevin Macnish, Tilimbe Jiya, Laurence Brooks, Josephina Antoniou & Mark Ryan - 2021 - Science and Engineering Ethics 27 (2):1-29.details
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Fairness in Algorithmic Policing.Duncan Purves - 2022 - Journal of the American Philosophical Association 8 (4):741-761.details
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Healthy Mistrust: Medical Black Box Algorithms, Epistemic Authority, and Preemptionism.Andreas Wolkenstein - forthcoming - Cambridge Quarterly of Healthcare Ethics:1-10.details
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Cultural Bias in Explainable AI Research.Uwe Peters & Mary Carman - forthcoming - Journal of Artificial Intelligence Research.details
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Transparency in Algorithmic and Human Decision-Making: Is There a Double Standard?John Zerilli, Alistair Knott, James Maclaurin & Colin Gavaghan - 2018 - Philosophy and Technology 32 (4):661-683.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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