- Explainable AI under contract and tort law: legal incentives and technical challenges.Philipp Hacker, Ralf Krestel, Stefan Grundmann & Felix Naumann - 2020 - Artificial Intelligence and Law 28 (4):415-439.details
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Uncertainty, Evidence, and the Integration of Machine Learning into Medical Practice.Thomas Grote & Philipp Berens - 2023 - Journal of Medicine and Philosophy 48 (1):84-97.details
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The Explanatory Role of Machine Learning in Molecular Biology.Fridolin Gross - forthcoming - Erkenntnis:1-21.details
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Allure of Simplicity.Thomas Grote - 2023 - Philosophy of Medicine 4 (1).details
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Analogue Models and Universal Machines. Paradigms of Epistemic Transparency in Artificial Intelligence.Hajo Greif - 2022 - Minds and Machines 32 (1):111-133.details
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What we owe to decision-subjects: beyond transparency and explanation in automated decision-making.David Gray Grant, Jeff Behrends & John Basl - 2023 - Philosophical Studies 2003:1-31.details
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Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms.Benedetta Giovanola & Simona Tiribelli - 2023 - AI and Society 38 (2):549-563.details
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Open source intelligence and AI: a systematic review of the GELSI literature.Riccardo Ghioni, Mariarosaria Taddeo & Luciano Floridi - forthcoming - AI and Society:1-16.details
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Children at Play: Thoughts about the impact of networked toys in the game of life and the role of law.Ulrich Gaspar - 2018 - International Review of Information Ethics 27.details
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A Friendly Critique of Levinasian Machine Ethics.Patrick Gamez - 2022 - Southern Journal of Philosophy 60 (1):118-149.details
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The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples.Timo Freiesleben - 2021 - Minds and Machines 32 (1):1-33.details
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The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples.Timo Freiesleben - 2021 - Minds and Machines 32 (1):77-109.details
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Toy story or children story? Putting children and their rights at the forefront of the artificial intelligence revolution.E. Fosch-Villaronga, S. van der Hof, C. Lutz & A. Tamò-Larrieux - 2021 - AI and Society:1-20.details
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Toy story or children story? Putting children and their rights at the forefront of the artificial intelligence revolution.E. Fosch-Villaronga, S. van der Hof, C. Lutz & A. Tamò-Larrieux - 2023 - AI and Society 38 (1):133-152.details
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Understanding, Idealization, and Explainable AI.Will Fleisher - 2022 - Episteme 19 (4):534-560.details
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Towards Transparency by Design for Artificial Intelligence.Heike Felzmann, Eduard Fosch-Villaronga, Christoph Lutz & Aurelia Tamò-Larrieux - 2020 - Science and Engineering Ethics 26 (6):3333-3361.details
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Beyond Human: Deep Learning, Explainability and Representation.M. Beatrice Fazi - forthcoming - Theory, Culture and Society:026327642096638.details
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Elephant motorbikes and too many neckties: epistemic spatialization as a framework for investigating patterns of bias in convolutional neural networks.Raymond Drainville & Farida Vis - forthcoming - AI and Society:1-15.details
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Should we be afraid of medical AI?Ezio Di Nucci - 2019 - Journal of Medical Ethics 45 (8):556-558.details
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Automated news recommendation in front of adversarial examples and the technical limits of transparency in algorithmic accountability.Antonin Descampe, Clément Massart, Simon Poelman, François-Xavier Standaert & Olivier Standaert - 2022 - AI and Society 37 (1):67-80.details
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Foundations of an Ethical Framework for AI Entities: the Ethics of Systems.Andrej Dameski - 2020 - Dissertation, University of Luxembourgdetails
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Explaining Explanations in AI.Brent Mittelstadt - forthcoming - FAT* 2019 Proceedings 1.details
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The epistemological foundations of data science: a critical analysis.Jules Desai, David Watson, Vincent Wang, Mariarosaria Taddeo & Luciano Floridi - manuscriptdetails
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Machine Decisions and Human Consequences.Teresa Scantamburlo, Andrew Charlesworth & Nello Cristianini - 2019 - In Karen Yeung & Martin Lodge (eds.), Algorithmic Regulation. Oxford: Oxford University Press.details
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