- Axe the X in XAI: A Plea for Understandable AI.Andrés Páez - forthcoming - In Juan Manuel Durán & Giorgia Pozzi (eds.), Philosophy of science for machine learning: Core issues and new perspectives. Springer.details
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Two Exploratory Uses for General Circulation Models in Climate Science.Joseph Wilson - 2021 - Perspectives on Science 29 (4):493-509.details
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Prediction via Similarity: Biomedical Big Data and the Case of Cancer Models.Giovanni Valente, Giovanni Boniolo & Fabio Boniolo - 2023 - Philosophy and Technology 36 (1):1-20.details
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Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer.Björn Schembera & Juan M. Durán - 2020 - Philosophy and Technology 33 (1):93-115.details
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Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer.Björn Schembera & Juan M. Durán - 2019 - Philosophy and Technology:1-23.details
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Connecting ethics and epistemology of AI.Federica Russo, Eric Schliesser & Jean Wagemans - forthcoming - AI and Society:1-19.details
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Transparent AI: reliabilist and proud.Abhishek Mishra - forthcoming - Journal of Medical Ethics.details
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Simulated Data in Empirical Science.Aki Lehtinen & Jani Raerinne - forthcoming - Foundations of Science:1-22.details
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Software engineering standards for epidemiological models.Jack K. Horner & John F. Symons - 2020 - History and Philosophy of the Life Sciences 42 (4):1-24.details
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What is a Simulation Model?Juan M. Durán - 2020 - Minds and Machines 30 (3):301-323.details
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Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI.Juan Manuel Durán & Karin Rolanda Jongsma - 2021 - Journal of Medical Ethics 47 (5).details
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Grounds for Trust: Essential Epistemic Opacity and Computational Reliabilism.Juan M. Durán & Nico Formanek - 2018 - Minds and Machines 28 (4):645-666.details
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Calculating surprises: a review for a philosophy of computer simulations: Johannes Lenhard: Calculated Surprises. A philosophy of computer simulations. New York: Oxford University Press, 2019, 256pp, 64,12 €.Juan M. Durán - 2020 - Metascience 29 (2):337-340.details
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A Formal Framework for Computer Simulations: Surveying the Historical Record and Finding Their Philosophical Roots.Juan M. Durán - 2019 - Philosophy and Technology 34 (1):105-127.details
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A Formal Framework for Computer Simulations: Surveying the Historical Record and Finding Their Philosophical Roots.Juan M. Durán - 2019 - Philosophy and Technology 34 (1):105-127.details
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„A pretence of what is not“? Eine Untersuchung von Simulation(en) aus der ENIAC-Perspektive.Liesbeth De Mol - 2019 - NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin 27 (4):443-478.details
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‘A Pretence of What is Not’? A Study of Simulation(s) from the ENIAC Perspective.Liesbeth De Mol - 2019 - NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin 27 (4):443-478.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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From Coding To Curing. Functions, Implementations, and Correctness in Deep Learning.Nicola Angius & Alessio Plebe - 2023 - Philosophy and Technology 36 (3):1-27.details
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Computer Simulations as Scientific Instruments.Ramón Alvarado - 2022 - Foundations of Science 27 (3):1183-1205.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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Ciencia de la computación y filosofía: unidades de análisis del software.Juan Manuel Durán - 2018 - Principia 22 (2):203-227.details
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