- Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.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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Deep learning: A philosophical introduction.Cameron Buckner - 2019 - Philosophy Compass 14 (10):e12625.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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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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The Importance of Understanding Deep Learning.Tim Räz & Claus Beisbart - 2024 - Erkenntnis 89 (5).details
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The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David Watson - 2019 - Minds and Machines 29 (3):417-440.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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Black Boxes or Unflattering Mirrors? Comparative Bias in the Science of Machine Behaviour.Cameron Buckner - 2023 - British Journal for the Philosophy of Science 74 (3):681-712.details
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Insightful artificial intelligence.Marta Halina - 2021 - Mind and Language 36 (2):315-329.details
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Connectionism.James Garson & Cameron Buckner - 2019 - Stanford Encyclopedia of Philosophy.details
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First-Class and Coach-Class Knowledge.Spencer Paulson - 2023 - Episteme 20 (3):736-756.details
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On the Philosophy of Unsupervised Learning.David S. Watson - 2023 - Philosophy and Technology 36 (2):1-26.details
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From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence.Catherine Stinson - 2020 - Philosophy of Science 87 (4):590-611.details
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Decentring the discoverer: how AI helps us rethink scientific discovery.Elinor Clark & Donal Khosrowi - 2022 - Synthese 200 (6):1-26.details
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The physics of representation.Russell A. Poldrack - 2020 - Synthese 199 (1-2):1307-1325.details
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Constructing Embodied Emotion with Language: Moebius Syndrome and Face-Based Emotion Recognition Revisited.Hunter Gentry - forthcoming - Australasian Journal of Philosophy.details
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Prediction versus understanding in computationally enhanced neuroscience.Mazviita Chirimuuta - 2020 - Synthese 199 (1-2):767-790.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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The learnability of natural concepts.Igor Douven - 2025 - Mind and Language 40 (1):120-135.details
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Learning incommensurate concepts.Hayley Clatterbuck & Hunter Gentry - 2025 - Synthese 205 (3):1-36.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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Correspondence Theory of Semantic Information.Marcin Miłkowski - 2023 - British Journal for the Philosophy of Science 74 (2):485-510.details
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How Abstract (Non-embodied) Linguistic Representations Augment Cognitive Control.Nikola A. Kompa & Jutta L. Mueller - 2020 - Frontiers in Psychology 11:543502.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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Indexical AI.Leif Weatherby & Brian Justie - 2022 - Critical Inquiry 48 (2):381-415.details
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Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena.Timo Freiesleben, Gunnar König, Christoph Molnar & Álvaro Tejero-Cantero - 2024 - Minds and Machines 34 (3):1-39.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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Fodor on imagistic mental representations.Daniel C. Burnston - 2020 - Rivista Internazionale di Filosofia e Psicologia 11 (1):71-94.details
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Machines That Create: Contingent Computation and Generative AI.M. Beatrice Fazi - 2024 - Media Theory 8 (2):1-12.details
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The Curious Case of Connectionism.Istvan S. N. Berkeley - 2019 - Open Philosophy 2 (1):190-205.details
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Connectionism about human agency: responsible AI and the social lifeworld.Jörg Noller - forthcoming - AI and Society:1-10.details
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Deep learning models and the limits of explainable artificial intelligence.Jens Christian Bjerring, Jakob Mainz & Lauritz Munch - 2025 - Asian Journal of Philosophy 4 (1):1-26.details
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Exploring Minds: Modes of Modeling and Simulation in Artificial Intelligence.Hajo Greif - 2021 - Perspectives on Science 29 (4):409-435.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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Naturalism Meets the Personal Level: How Mixed Modelling Flattens the Mind.Robert D. Rupert - manuscriptdetails
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A Context-Sensitive and Non-Linguistic Approach to Abstract Concepts.Peter Langland-Hassan & Charles Davis - 2022 - Philosophical Transactions of the Royal Society B 378.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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Material perception for philosophers.J. Brendan Ritchie, Vivian C. Paulun, Katherine R. Storrs & Roland W. Fleming - 2021 - Philosophy Compass 16 (10):e12777.details
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Can Deep CNNs Avoid Infinite Regress/Circularity in Content Constitution?Jesse Lopes - 2023 - Minds and Machines 33 (3):507-524.details
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Beginning at the beginning: predictive processing and coupled representations.Joshua Rust - forthcoming - Philosophical Psychology.details
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Searching for Features with Artificial Neural Networks in Science: The Problem of Non-Uniqueness.Siyu Yao & Amit Hagar - 2024 - International Studies in the Philosophy of Science 37 (1):51-67.details
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Naturalization without associationist reduction: a brief rebuttal to Yoshimi.Jesse Lopes - forthcoming - Phenomenology and the Cognitive Sciences:1-9.details
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The Exploratory Status of Postconnectionist Models.Miljana Milojevic & Vanja Subotić - 2020 - Theoria: Beograd 2 (63):135-164.details
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Language and embodiment—Or the cognitive benefits of abstract representations.Nikola A. Kompa - 2019 - Mind and Language 36 (1):27-47.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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Mapping representational mechanisms with deep neural networks.Phillip Hintikka Kieval - 2022 - Synthese 200 (3):1-25.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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