- The best game in town: The reemergence of the language-of-thought hypothesis across the cognitive sciences.Jake Quilty-Dunn, Nicolas Porot & Eric Mandelbaum - 2023 - Behavioral and Brain Sciences 46:e261.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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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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Reliability in Machine Learning.Thomas Grote, Konstantin Genin & Emily Sullivan - 2024 - Philosophy Compass 19 (5):e12974.details
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What is Interpretability?Adrian Erasmus, Tyler D. P. Brunet & Eyal Fisher - 2021 - Philosophy and Technology 34:833–862.details
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The Importance of Understanding Deep Learning.Tim Räz & Claus Beisbart - 2024 - Erkenntnis 89 (5).details
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Philosophy of science at sea: Clarifying the interpretability of machine learning.Claus Beisbart & Tim Räz - 2022 - Philosophy Compass 17 (6):e12830.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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Operationalising Representation in Natural Language Processing.Jacqueline Harding - 2023 - British Journal for the Philosophy of Science.details
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Instruments, agents, and artificial intelligence: novel epistemic categories of reliability.Eamon Duede - 2022 - Synthese 200 (6):1-20.details
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Making AI Intelligible: Philosophical Foundations.Herman Cappelen & Josh Dever - 2021 - New York, USA: Oxford University Press.details
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Phenomenology: What’s AI got to do with it?Alessandra Buccella & Alison A. Springle - 2023 - Phenomenology and the Cognitive Sciences 22 (3):621-636.details
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Reinforcement learning: A brief guide for philosophers of mind.Julia Haas - 2022 - Philosophy Compass 17 (9):e12865.details
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Deep learning and synthetic media.Raphaël Millière - 2022 - Synthese 200 (3):1-27.details
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Designing AI for mental health diagnosis: challenges from sub-Saharan African value-laden judgements on mental health disorders.Edmund Terem Ugar & Ntsumi Malele - 2024 - Journal of Medical Ethics 50 (9):592-595.details
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Allure of Simplicity.Thomas Grote - 2023 - Philosophy of Medicine 4 (1).details
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Est-ce que Vous Compute?Arianna Falbo & Travis LaCroix - 2022 - Feminist Philosophy Quarterly 8 (3).details
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ML interpretability: Simple isn't easy.Tim Räz - 2024 - Studies in History and Philosophy of Science Part A 103 (C):159-167.details
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Moving beyond content‐specific computation in artificial neural networks.Nicholas Shea - 2021 - Mind and Language 38 (1):156-177.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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Philosophers Ought to Develop, Theorize About, and Use Philosophically Relevant AI.Graham Clay & Caleb Ontiveros - 2023 - Metaphilosophy 54 (4):463-479.details
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Deepfakes and Dishonesty.Tobias Flattery & Christian B. Miller - 2024 - Philosophy and Technology 37 (120):1-24.details
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Values and inductive risk in machine learning modelling: the case of binary classification models.Koray Karaca - 2021 - European Journal for Philosophy of Science 11 (4):1-27.details
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The State Space of Artificial Intelligence.Holger Lyre - 2020 - Minds and Machines 30 (3):325-347.details
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Understanding via exemplification in XAI: how explaining image classification benefits from exemplars.Sara Mann - forthcoming - AI and Society:1-16.details
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The linguistic dead zone of value-aligned agency, natural and artificial.Travis LaCroix - 2024 - Philosophical Studies:1-23.details
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The computational theory of mind.Steven Horst - 2005 - Stanford Encyclopedia of Philosophy.details
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Evidence, computation and AI: why evidence is not just in the head.Darrell P. Rowbottom, André Curtis-Trudel & William Peden - 2023 - Asian Journal of Philosophy 2 (1):1-17.details
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Are machines radically contextualist?Ryan M. Nefdt - 2023 - Mind and Language 38 (3):750-771.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 - 2025 - Philosophical Studies 182 (1):55-85.details
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Radical empiricism and machine learning research.Judea Pearl - 2021 - Journal of Causal Inference 9 (1):78-82.details
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Throwing light on black boxes: emergence of visual categories from deep learning.Ezequiel López-Rubio - 2020 - Synthese 198 (10):10021-10041.details
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Eliminativism and Reading One's Own Mind.T. Parent - manuscriptdetails
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Troubles with mathematical contents.Marco Facchin - forthcoming - Philosophical Psychology.details
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The Dynamicist Landscape.David L. Barack - 2023 - Topics in Cognitive Science.details
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An Alternative to Cognitivism: Computational Phenomenology for Deep Learning.Pierre Beckmann, Guillaume Köstner & Inês Hipólito - 2023 - Minds and Machines 33 (3):397-427.details
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Deep Learning Applied to Scientific Discovery: A Hot Interface with Philosophy of Science.Louis Vervoort, Henry Shevlin, Alexey A. Melnikov & Alexander Alodjants - 2023 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 54 (2):339-351.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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Predicting and explaining with machine learning models: Social science as a touchstone.Oliver Buchholz & Thomas Grote - 2023 - Studies in History and Philosophy of Science Part A 102 (C):60-69.details
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Ontology, neural networks, and the social sciences.David Strohmaier - 2020 - Synthese 199 (1-2):4775-4794.details
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Recognizing why vision is inferential.J. Brendan Ritchie - 2022 - Synthese 200 (1):1-27.details
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Metaphysics , Meaning, and Morality: A Theological Reflection on A.I.Jordan Joseph Wales - 2022 - Journal of Moral Theology 11 (Special Issue 1):157-181.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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Linguistic Competence and New Empiricism in Philosophy and Science.Vanja Subotić - 2023 - Dissertation, University of Belgradedetails
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深層学習の哲学的意義.Takayuki Suzuki - 2021 - Kagaku Tetsugaku 53 (2):151-167.details
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Machine Learning Application to Predict The Quality of Watermelon Using JustNN.Ibrahim M. Nasser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (10):1-8.details
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