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(1 other version)Psychological predicates.Hilary Putnam - 1967 - In William H. Capitan & Daniel Davy Merrill (eds.), Art, mind, and religion. [Pittsburgh]: University of Pittsburgh Press. pp. 37--48.details
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The method of levels of abstraction.Luciano Floridi - 2008 - Minds and Machines 18 (3):303–329.details
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(2 other versions)Special sciences (or: The disunity of science as a working hypothesis).J. Fodor - 1974 - Synthese 28 (2):97-115.details
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The curve-fitting problem: An objectivist view.Stanley A. Mulaik - 2001 - Philosophy of Science 68 (2):218-241.details
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How to Tell When Simpler, More Unified, or Less A d Hoc Theories Will Provide More Accurate Predictions.Malcolm R. Forster & Elliott Sober - 1994 - British Journal for the Philosophy of Science 45 (1):1-35.details
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The curve fitting problem: A bayesian rejoinder.Prasanta S. Bandyopadhyay & Robert J. Boik - 1999 - Philosophy of Science 66 (3):402.details
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(1 other version)Computing machinery and intelligence.Alan M. Turing - 1950 - Mind 59 (October):433-60.details
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(2 other versions)Special sciences.Jerry A. Fodor - 1974 - Synthese 28 (2):97-115.details
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(1 other version)Real patterns.Daniel C. Dennett - 1991 - Journal of Philosophy 88 (1):27-51.details
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Comparative genetic architectures of schizophrenia in East Asian and European populations.Max Lam, Chia-Yen Chen, Zhiqiang Li, Alicia R. Martin, Julien Bryois, Xixian Ma, Helena Gaspar, Masashi Ikeda, Beben Benyamin, Brielin C. Brown, Ruize Liu, Wei Zhou, Lili Guan, Yoichiro Kamatani, Sung-Wan Kim, Michiaki Kubo, Agung Kusumawardhani, Chih-Min Liu, Hong Ma, Sathish Periyasamy, Atsushi Takahashi, Zhida Xu, Hao Yu, Feng Zhu, Wei J. Chen, Stephen Faraone, Stephen J. Glatt, Lin He, Steven E. Hyman, Hai-Gwo Hwu, Steven A. McCarroll, Benjamin M. Neale, Pamela Sklar, Dieter B. Wildenauer, Xin Yu, Dai Zhang, Bryan J. Mowry, Jimmy Lee, Peter Holmans, Shuhua Xu, Patrick F. Sullivan, Stephan Ripke, Michael C. O’Donovan, Mark J. Daly, Shengying Qin, Pak Sham, Nakao Iwata, Kyung S. Hong, Sibylle G. Schwab, Weihua Yue, Ming Tsuang, Jianjun Liu, Xiancang Ma, René S. Kahn, Yongyong Shi & Hailiang Huang - 2019 - Nature Genetics 51 (12):1670-1678.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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Proceed with Caution.Annette Zimmermann & Chad Lee-Stronach - 2021 - Canadian Journal of Philosophy (1):6-25.details
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Modeling the structure of recent philosophy.Maximilian Noichl - 2019 - Synthese 198 (6):5089-5100.details
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Causal feature learning for utility-maximizing agents.David Kinney & David Watson - 2020 - In David Kinney & David Watson (eds.), International Conference on Probabilistic Graphical Models. pp. 257–268.details
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Algorithmic content moderation: Technical and political challenges in the automation of platform governance.Christian Katzenbach, Reuben Binns & Robert Gorwa - 2020 - Big Data and Society 7 (1):1–15.details
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Artificial Intelligence, Values, and Alignment.Iason Gabriel - 2020 - Minds and Machines 30 (3):411-437.details
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New directions in predictive processing.Jakob Hohwy - 2020 - Mind and Language 35 (2):209-223.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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Against Interpretability: a Critical Examination of the Interpretability Problem in Machine Learning.Maya Krishnan - 2020 - Philosophy and Technology 33 (3):487-502.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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Empiricism without Magic: Transformational Abstraction in Deep Convolutional Neural Networks.Cameron Buckner - 2018 - Synthese (12):1-34.details
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Self-Assembling Networks.Jeffrey A. Barrett, Brian Skyrms & Aydin Mohseni - 2019 - British Journal for the Philosophy of Science 70 (1):1-25.details
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(4 other versions)Naming and Necessity.Saul Kripke - 1980 - Philosophy 56 (217):431-433.details
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The ethics of algorithms: mapping the debate.Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter & Luciano Floridi - 2016 - Big Data and Society 3 (2):2053951716679679.details
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How to define levels of explanation and evaluate their indispensability.Christopher Clarke - 2017 - Synthese 194 (6).details
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Semantic information and the network theory of account.Luciano Floridi - 2012 - Synthese 184 (3):431-454.details
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Explanatory Depth.Brad Weslake - 2010 - Philosophy of Science 77 (2):273-294.details
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What psychological states are not.Ned Block & Jerry A. Fodor - 1972 - Philosophical Review 81 (April):159-81.details
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The identification game: deepfakes and the epistemic limits of identity.Carl Öhman - 2022 - Synthese 200 (4):1-19.details
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Deep learning and synthetic media.Raphaël Millière - 2022 - Synthese 200 (3):1-27.details
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Diachronic trends in the topic distributions of formal epistemology abstracts.David Kinney - 2022 - Synthese 200 (1):1-34.details
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(1 other version)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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(2 other versions)The explanation game: a formal framework for interpretable machine learning.David S. Watson & Luciano Floridi - 2021 - Synthese 198 (10):9211-9242.details
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(2 other versions)The explanation game: a formal framework for interpretable machine learning.David S. Watson & Luciano Floridi - 2020 - Synthese 198 (10):1–32.details
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Busting Out: Predictive Brains, Embodied Minds, and the Puzzle of the Evidentiary Veil.Andy Clark - 2017 - Noûs 51 (4):727-753.details
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The Distinct Wrong of Deepfakes.Adrienne de Ruiter - 2021 - Philosophy and Technology 34 (4):1311-1332.details
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Peeking inside the black-box: A survey on explainable artificial intelligence (XAI).A. Adadi & M. Berrada - 2018 - IEEE Access 6.details
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The no-free-lunch theorems of supervised learning.Tom F. Sterkenburg & Peter D. Grünwald - 2021 - Synthese 199 (3-4):9979-10015.details
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On the Explanatory Depth and Pragmatic Value of Coarse-Grained, Probabilistic, Causal Explanations.David Kinney - 2018 - Philosophy of Science (1):145-167.details
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The problem of variable choice.James Woodward - 2016 - Synthese 193 (4):1047-1072.details
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Using Logic to Evolve More Logic: Composing Logical Operators via Self-Assembly.Travis LaCroix - 2022 - British Journal for the Philosophy of Science 73 (2):407-437.details
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Scientific Essentialism.Lenny Clapp - 2002 - Philosophical Review 111 (4):589-594.details
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The computational philosophy: simulation as a core philosophical method.Conor Mayo-Wilson & Kevin J. S. Zollman - 2021 - Synthese 199 (1-2):3647-3673.details
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A Gruesome Problem for the Curve-Fitting Solution.Scott DeVito - 1997 - British Journal for the Philosophy of Science 48 (3):391-396.details
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Eight journals over eight decades: a computational topic-modeling approach to contemporary philosophy of science.Christophe Malaterre, Francis Lareau, Davide Pulizzotto & Jonathan St-Onge - 2020 - Synthese 199 (1-2):2883-2923.details
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Humanistic interpretation and machine learning.Juho Pääkkönen & Petri Ylikoski - 2021 - Synthese 199:1461–1497.details
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Curve Fitting, the Reliability of Inductive Inference, and the Error‐Statistical Approach.Aris Spanos - 2007 - Philosophy of Science 74 (5):1046-1066.details
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Akaike information criterion, curve-fitting, and the philosophical problem of simplicity.I. A. Kieseppä - 1997 - British Journal for the Philosophy of Science 48 (1):21-48.details
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A Survey of Methods for Explaining Black Box Models.Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti & Dino Pedreschi - 2019 - ACM Computing Surveys 51 (5):1-42.details
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