- 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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Social media, social unfreedom.Jun Yu & João C. Magalhães - 2022 - Communications 47 (4):553-571.details
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From human resources to human rights: Impact assessments for hiring algorithms.Josephine Yam & Joshua August Skorburg - 2021 - Ethics and Information Technology 23 (4):611-623.details
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Democratizing Algorithmic Fairness.Pak-Hang Wong - 2020 - Philosophy and Technology 33 (2):225-244.details
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Brain–Computer Interfaces: Lessons to Be Learned from the Ethics of Algorithms.Andreas Wolkenstein, Ralf J. Jox & Orsolya Friedrich - 2018 - Cambridge Quarterly of Healthcare Ethics 27 (4):635-646.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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Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency.Hao Wang - 2022 - Philosophy and Technology 35 (3):1-25.details
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Assembled Bias: Beyond Transparent Algorithmic Bias.Robyn Repko Waller & Russell L. Waller - 2022 - Minds and Machines 32 (3):533-562.details
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Defining the undefinable: the black box problem in healthcare artificial intelligence.Jordan Joseph Wadden - 2022 - Journal of Medical Ethics 48 (10):764-768.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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Freedom at Work: Understanding, Alienation, and the AI-Driven Workplace.Kate Vredenburgh - 2022 - Canadian Journal of Philosophy 52 (1):78-92.details
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AI and bureaucratic discretion.Kate Vredenburgh - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.details
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Transparency and the Black Box Problem: Why We Do Not Trust AI.Warren J. von Eschenbach - 2021 - Philosophy and Technology 34 (4):1607-1622.details
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Moral distance, AI, and the ethics of care.Carolina Villegas-Galaviz & Kirsten Martin - forthcoming - AI and Society:1-12.details
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Reasons for Meaningful Human Control.Herman Veluwenkamp - 2022 - Ethics and Information Technology 24 (4):1-9.details
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Levels of explicability for medical artificial intelligence: What do we normatively need and what can we technically reach?Frank Ursin, Felix Lindner, Timo Ropinski, Sabine Salloch & Cristian Timmermann - 2023 - Ethik in der Medizin 35 (2):173-199.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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A sociotechnical perspective for the future of AI: narratives, inequalities, and human control.Andreas Theodorou & Laura Sartori - 2022 - Ethics and Information Technology 24 (1):1-11.details
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Explanation and the Right to Explanation.Elanor Taylor - 2023 - Journal of the American Philosophical Association 1:1-16.details
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Epistemic injustice and data science technologies.John Symons & Ramón Alvarado - 2022 - Synthese 200 (2):1-26.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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Inductive Risk, Understanding, and Opaque Machine Learning Models.Emily Sullivan - 2022 - Philosophy of Science 89 (5):1065-1074.details
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How can we know a self-driving car is safe?Jack Stilgoe - 2021 - Ethics and Information Technology 23 (4):635-647.details
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Algorithms Don’t Have A Future: On the Relation of Judgement and Calculation.Daniel Stader - 2024 - Philosophy and Technology 37 (1):1-29.details
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The Automated Laplacean Demon: How ML Challenges Our Views on Prediction and Explanation.Sanja Srećković, Andrea Berber & Nenad Filipović - 2021 - Minds and Machines 32 (1):159-183.details
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Robots in the Workplace: a Threat to—or Opportunity for—Meaningful Work?Jilles Smids, Sven Nyholm & Hannah Berkers - 2020 - Philosophy and Technology 33 (3):503-522.details
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Framing the effects of machine learning on science.Victo J. Silva, Maria Beatriz M. Bonacelli & Carlos A. Pacheco - forthcoming - AI and Society:1-17.details
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How do people judge the credibility of algorithmic sources?Donghee Shin - 2022 - AI and Society 37 (1):81-96.details
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Algorithmic governance: Developing a research agenda through the power of collective intelligence.Kalpana Shankar, Burkhard Schafer, Niall O'Brolchain, Maria Helen Murphy, John Morison, Su-Ming Khoo, Muki Haklay, Heike Felzmann, Aisling De Paor, Anthony Behan, Rónán Kennedy, Chris Noone, Michael J. Hogan & John Danaher - 2017 - Big Data and Society 4 (2).details
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Algorithms as culture: Some tactics for the ethnography of algorithmic systems.Nick Seaver - 2017 - Big Data and Society 4 (2).details
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Attention, moral skill, and algorithmic recommendation.Nick Schuster & Seth Lazar - forthcoming - Philosophical Studies:1-26.details
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Going beyond the “common suspects”: to be presumed innocent in the era of algorithms, big data and artificial intelligence.Athina Sachoulidou - forthcoming - Artificial Intelligence and Law:1-54.details
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Connecting ethics and epistemology of AI.Federica Russo, Eric Schliesser & Jean Wagemans - forthcoming - AI and Society:1-19.details
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Explanatory pragmatism: a context-sensitive framework for explainable medical AI.Diana Robinson & Rune Nyrup - 2022 - Ethics and Information Technology 24 (1).details
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Ethics of Quantum Computing: an Outline.Luca M. Possati - 2023 - Philosophy and Technology 36 (3):1-21.details
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Karl Jaspers and artificial neural nets: on the relation of explaining and understanding artificial intelligence in medicine.Christopher Poppe & Georg Starke - 2022 - Ethics and Information Technology 24 (3):1-10.details
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The right to refuse diagnostics and treatment planning by artificial intelligence.Thomas Ploug & Søren Holm - 2020 - Medicine, Health Care and Philosophy 23 (1):107-114.details
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Humanistic interpretation and machine learning.Juho Pääkkönen & Petri Ylikoski - 2021 - Synthese 199:1461–1497.details
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Sources of Understanding in Supervised Machine Learning Models.Paulo Pirozelli - 2022 - Philosophy and Technology 35 (2):1-19.details
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Reclaiming Control: Extended Mindreading and the Tracking of Digital Footprints.Uwe Peters - 2022 - Social Epistemology 36 (3):267-282.details
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Algorithmic Political Bias in Artificial Intelligence Systems.Uwe Peters - 2022 - Philosophy and Technology 35 (2):1-23.details
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Human-like machines: Transparency and comprehensibility.Piotr M. Patrzyk, Daniela Link & Julian N. Marewski - 2017 - Behavioral and Brain Sciences 40.details
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How to Make AlphaGo’s Children Explainable.Woosuk Park - 2022 - Philosophies 7 (3):55.details
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Political machines: a framework for studying politics in social machines.Orestis Papakyriakopoulos - 2022 - AI and Society 37 (1):113-130.details
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The contradictions of digital modernity.Kieron O’Hara - 2020 - AI and Society 35 (1):197-208.details
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Attitudinal Tensions in the Joint Pursuit of Explainable and Trusted AI.Devesh Narayanan & Zhi Ming Tan - 2023 - Minds and Machines 33 (1):55-82.details
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Philosophical Inquiry into Computer Intentionality: Machine Learning and Value Sensitive Design.Dmytro Mykhailov - 2023 - Human Affairs 33 (1):115-127.details
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From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices.Jessica Morley, Luciano Floridi, Libby Kinsey & Anat Elhalal - 2020 - Science and Engineering Ethics 26 (4):2141-2168.details
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Will intelligent machines become moral patients?Parisa Moosavi - forthcoming - Philosophy and Phenomenological Research.details
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