- (1 other version)Towards a Benchmark for Scientific Understanding in Humans and Machines.Kristian Gonzalez Barman, Sascha Caron, Tom Claassen & Henk de Regt - 2024 - Minds and Machines 34 (1):1-16.details
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Dubito Ergo Sum: Exploring AI Ethics.Viktor Dörfler & Giles Cuthbert - 2024 - Hicss 57: Hawaii International Conference on System Sciences, Honolulu, Hi.details
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Machine learning in human creativity: status and perspectives.Mirko Farina, Andrea Lavazza, Giuseppe Sartori & Witold Pedrycz - forthcoming - AI and Society:1-13.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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The argument for near-term human disempowerment through AI.Leonard Dung - 2024 - AI and Society:1-14.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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Cognitive Systems, Predictive Processing, and the Self.Robert D. Rupert - 2021 - Review of Philosophy and Psychology 13 (4):947-972.details
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(1 other version)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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(1 other version)The Emperor Is Naked: Replies to commentaries on the target article.Jelle Bruineberg, Krzysztof Dołęga, Joe Dewhurst & Manuel Baltieri - 2022 - Behavioral and Brain Sciences 45:e219.details
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(3 other versions)Life, mind, agency: Why Markov blankets fail the test of evolution.Walter Veit & Heather Browning - 2022 - Behavioral and Brain Sciences 45:e214.details
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Why Machines Will Never Rule the World: Artificial Intelligence without Fear.Jobst Landgrebe & Barry Smith - 2022 - Abingdon, England: Routledge.details
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The Accidental Philosopher and One of the Hardest Problems in the World.Sonje Finnestad & Eric Neufeld - 2022 - Philosophies 7 (4):76.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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Time-Based Binding as a Solution to and a Limitation for Flexible Cognition.Mehdi Senoussi, Pieter Verbeke & Tom Verguts - 2022 - Frontiers in Psychology 12.details
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Emergent Models for Moral AI Spirituality.Mark Graves - 2021 - International Journal of Interactive Multimedia and Artificial Intelligence 7 (1):7-15.details
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A philosophical view on singularity and strong AI.Christian Hugo Hoffmann - forthcoming - AI and Society:1-18.details
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Master and Slave: the Dialectic of Human-Artificial Intelligence Engagement.Tae Wan Kim, Fabrizio Maimone, Katherina Pattit, Alejo José Sison & Benito Teehankee - 2021 - Humanistic Management Journal 6 (3):355-371.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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Face Recognition Depends on Specialized Mechanisms Tuned to View‐Invariant Facial Features: Insights from Deep Neural Networks Optimized for Face or Object Recognition.Naphtali Abudarham, Idan Grosbard & Galit Yovel - 2021 - Cognitive Science 45 (9):e13031.details
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Turning biases into hypotheses through method: A logic of scientific discovery for machine learning.Maja Bak Herrie & Simon Aagaard Enni - 2021 - Big Data and Society 8 (1).details
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Analyzing Machine‐Learned Representations: A Natural Language Case Study.Ishita Dasgupta, Demi Guo, Samuel J. Gershman & Noah D. Goodman - 2020 - Cognitive Science 44 (12):e12925.details
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Updating the Frame Problem for Artificial Intelligence Research.Lisa Miracchi - 2020 - Journal of Artificial Intelligence and Consciousness 7 (2):217-230.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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Computer Simulations, Machine Learning and the Laplacean Demon: Opacity in the Case of High Energy Physics.Florian J. Boge & Paul Grünke - forthcoming - In Andreas Kaminski, Michael Resch & Petra Gehring (eds.), The Science and Art of Simulation II.details
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Privacy concerns in educational data mining and learning analytics.Isak Potgieter - 2020 - International Review of Information Ethics 28.details
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Deep learning and cognitive science.Pietro Perconti & Alessio Plebe - 2020 - Cognition 203:104365.details
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Editors’ Review and Introduction: Levels of Explanation in Cognitive Science: From Molecules to Culture.Matteo Colombo & Markus Knauff - 2020 - Topics in Cognitive Science 12 (4):1224-1240.details
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Autonomy and Machine Learning as Risk Factors at the Interface of Nuclear Weapons, Computers and People.S. M. Amadae & Shahar Avin - 2019 - In Vincent Boulanin (ed.), The Impact of Artificial Intelligence on Strategic Stability and Nuclear Risk: Euro-Atlantic Perspectives. Stockholm: SIPRI. pp. 105-118.details
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Ontology and Cognitive Outcomes.David Limbaugh, Jobst Landgrebe, David Kasmier, Ronald Rudnicki, James Llinas & Barry Smith - 2020 - Journal of Knowledge Structures and Systems 1 (1): 3-22.details
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Anthropomorphism in AI.Arleen Salles, Kathinka Evers & Michele Farisco - 2020 - American Journal of Bioethics Neuroscience 11 (2):88-95.details
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A Puzzle concerning Compositionality in Machines.Ryan M. Nefdt - 2020 - Minds and Machines 30 (1):47-75.details
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The Unbearable Shallow Understanding of Deep Learning.Alessio Plebe & Giorgio Grasso - 2019 - Minds and Machines 29 (4):515-553.details
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The philosophy of linguistics: Scientific underpinnings and methodological disputes.Ryan M. Nefdt - 2019 - Philosophy Compass 14 (12):e12636.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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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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The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David Watson - 2019 - Minds and Machines 29 (3):417-440.details
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Deep learning: A philosophical introduction.Cameron Buckner - 2019 - Philosophy Compass 14 (10):e12625.details
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15 challenges for AI: or what AI (currently) can’t do.Thilo Hagendorff & Katharina Wezel - 2020 - AI and Society 35 (2):355-365.details
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Making AI Meaningful Again.Jobst Landgrebe & Barry Smith - 2021 - Synthese 198 (March):2061-2081.details
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Noise induced hearing loss: Building an application using the ANGELIC methodology.Latifa Al-Abdulkarim, Katie Atkinson, Trevor Bench-Capon, Stuart Whittle, Rob Williams & Catriona Wolfenden - 2018 - Argument and Computation 10 (1):5-22.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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(4 other versions)Philosophy and theory of artificial intelligence 2017.Vincent C. Müller (ed.) - 2017 - Berlin: Springer.details
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Alien Reasoning: Is a Major Change in Scientific Research Underway?Thomas Nickles - 2020 - Topoi 39 (4):901-914.details
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(1 other version)Towards a Benchmark for Scientific Understanding in Humans and Machines.Kristian Gonzalez Barman, Sascha Caron, Tom Claassen & Henk De Regt - 2024 - Minds and Machines 34 (1):1-16.details
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The Challenge of Modeling the Acquisition of Mathematical Concepts.Alberto Testolin - 2020 - Frontiers in Human Neuroscience 14:511878.details
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From Reflex to Reflection: Two Tricks AI Could Learn from Us.Jean-Louis Dessalles - 2019 - Philosophies 4 (2):27.details
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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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Ethical Issues in Consent for the Reuse of Data in Health Data Platforms.Alex McKeown, Miranda Mourby, Paul Harrison, Sophie Walker, Mark Sheehan & Ilina Singh - 2021 - Science and Engineering Ethics 27 (1):1-21.details
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Artificial Interdisciplinarity: Artificial Intelligence for Research on Complex Societal Problems.Seth D. Baum - 2020 - Philosophy and Technology 34 (1):45-63.details
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Abstraction, mimesis and the evolution of deep learning.Jon Eklöf, Thomas Hamelryck, Cadell Last, Alexander Grima & Ulrika Lundh Snis - forthcoming - AI and Society:1-9.details
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