- 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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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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The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples.Timo Freiesleben - 2021 - Minds and Machines 32 (1):1-33.details
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The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples.Timo Freiesleben - 2021 - Minds and Machines 32 (1):77-109.details
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Human Autonomy at Risk? An Analysis of the Challenges from AI.Carina Prunkl - 2024 - Minds and Machines 34 (3):1-21.details
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Explanation–Question–Response dialogue: An argumentative tool for explainable AI.Federico Castagna, Peter McBurney & Simon Parsons - forthcoming - Argument and Computation:1-23.details
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Explanation Hacking: The perils of algorithmic recourse.E. Sullivan & Atoosa Kasirzadeh - 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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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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Cultural Bias in Explainable AI Research.Uwe Peters & Mary Carman - forthcoming - Journal of Artificial Intelligence Research.details
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Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith & Simone Stumpf - 2024 - Information Fusion 106 (June 2024).details
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On the Justified Use of AI Decision Support in Evidence-Based Medicine: Validity, Explainability, and Responsibility.Sune Holm - forthcoming - Cambridge Quarterly of Healthcare Ethics:1-7.details
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Levels of explicability for medical artificial intelligence: What do we normatively need and what can we technically reach?Frank Ursin, Felix Lindner, Timo Ropinski, Sabine Salloch & Cristian Timmermann - 2023 - Ethik in der Medizin 35 (2):173-199.details
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Automating anticorruption?María Carolina Jiménez & Emanuela Ceva - 2022 - Ethics and Information Technology 24 (4):1-14.details
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(1 other version)Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making.Suzanne Tolmeijer, Markus Christen, Serhiy Kandul, Markus Kneer & Abraham Bernstein - 2022 - Proceedings of the 2022 Chi Conference on Human Factors in Computing Systems 160:160:1–17.details
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A principlist-based study of the ethical design and acceptability of artificial social agents.Paul Formosa - 2023 - International Journal of Human-Computer Studies 172.details
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Explainable AI lacks regulative reasons: why AI and human decision‑making are not equally opaque.Uwe Peters - forthcoming - AI and Ethics.details
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AI and the expert; a blueprint for the ethical use of opaque AI.Amber Ross - forthcoming - AI and Society:1-12.details
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Accountability in Artificial Intelligence: What It Is and How It Works.Claudio Novelli, Mariarosaria Taddeo & Luciano Floridi - 2023 - AI and Society 1:1-12.details
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An explanation space to align user studies with the technical development of Explainable AI.Garrick Cabour, Andrés Morales-Forero, Élise Ledoux & Samuel Bassetto - 2023 - AI and Society 38 (2):869-887.details
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AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context.Sarah Bankins, Paul Formosa, Yannick Griep & Deborah Richards - forthcoming - Information Systems Frontiers.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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Algorithmic decision-making employing profiling: will trade secrecy protection render the right to explanation toothless?Paul B. de Laat - 2022 - Ethics and Information Technology 24 (2).details
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Towards Knowledge-driven Distillation and Explanation of Black-box Models.Roberto Confalonieri, Guendalina Righetti, Pietro Galliani, Nicolas Toquard, Oliver Kutz & Daniele Porello - 2021 - In Roberto Confalonieri, Guendalina Righetti, Pietro Galliani, Nicolas Toquard, Oliver Kutz & Daniele Porello (eds.), Proceedings of the Workshop on Data meets Applied Ontologies in Explainable {AI} {(DAO-XAI} 2021) part of Bratislava Knowledge September {(BAKS} 2021), Bratislava, Slovakia, September 18th to 19th, 2021. CEUR 2998.details
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(1 other version)AI and the Social Sciences: Why all variables are not created equal.Catherine Greene - 2022 - Res Publica 1:1-17.details
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AI with Alien Content and Alien Metasemantics.Herman Cappelen & Joshua Dever - 2024 - In Ernest Lepore & Luvell Anderson (eds.), The Oxford Handbook of Applied Philosophy of Language. New York, NY: Oxford University Press.details
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Explanations in AI as Claims of Tacit Knowledge.Nardi Lam - 2022 - Minds and Machines 32 (1):135-158.details
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The effective and ethical development of artificial intelligence: An opportunity to improve our wellbeing.James Maclaurin, Toby Walsh, Neil Levy, Genevieve Bell, Fiona Wood, Anthony Elliott & Iven Mareels - 2019 - Melbourne VIC, Australia: Australian Council of Learned Academies.details
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The Automated Laplacean Demon: How ML Challenges Our Views on Prediction and Explanation.Sanja Srećković, Andrea Berber & Nenad Filipović - 2021 - Minds and Machines 32 (1):159-183.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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AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind.Jocelyn Maclure - 2021 - Minds and Machines 31 (3):421-438.details
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Toward personalized XAI: A case study in intelligent tutoring systems.Cristina Conati, Oswald Barral, Vanessa Putnam & Lea Rieger - 2021 - Artificial Intelligence 298 (C):103503.details
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Is explainable artificial intelligence intrinsically valuable?Nathan Colaner - 2022 - AI and Society 37 (1):231-238.details
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What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research.Markus Langer, Daniel Oster, Timo Speith, Lena Kästner, Kevin Baum, Holger Hermanns, Eva Schmidt & Andreas Sesing - 2021 - Artificial Intelligence 296 (C):103473.details
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Human Induction in Machine Learning: A Survey of the Nexus.Petr Spelda & Vit Stritecky - 2021 - ACM Computing Surveys 54 (3):1-18.details
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Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.details
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Story embedding: Learning distributed representations of stories based on character networks.O.-Joun Lee & Jason J. Jung - 2020 - Artificial Intelligence 281 (C):103235.details
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Towards Transparency by Design for Artificial Intelligence.Heike Felzmann, Eduard Fosch-Villaronga, Christoph Lutz & Aurelia Tamò-Larrieux - 2020 - Science and Engineering Ethics 26 (6):3333-3361.details
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Why Attention is Not Explanation: Surgical Intervention and Causal Reasoning about Neural Models.Christopher Grimsley, Elijah Mayfield & Julia Bursten - 2020 - Proceedings of the 12th Conference on Language Resources and Evaluation.details
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The Suppression of Inferences From Counterfactual Conditionals.Orlando Espino & Ruth M. J. Byrne - 2020 - Cognitive Science 44 (4):e12827.details
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Artificial Intelligence and Patient-Centered Decision-Making.Jens Christian Bjerring & Jacob Busch - 2020 - Philosophy and Technology 34 (2):349-371.details
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Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability.Mark Coeckelbergh - 2020 - Science and Engineering Ethics 26 (4):2051-2068.details
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Unexplainability and Incomprehensibility of Artificial Intelligence.Roman Yampolskiy - manuscriptdetails
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(1 other version)The Pragmatic Turn in Explainable Artificial Intelligence (XAI).Andrés Páez - 2019 - Minds and Machines 29 (3):441-459.details
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Empowerment or Engagement? Digital Health Technologies for Mental Healthcare.Christopher Burr & Jessica Morley - 2020 - In Christopher Burr & Silvia Milano (eds.), The 2019 Yearbook of the Digital Ethics Lab. Springer Nature. pp. 67-88.details
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Conceptualizing understanding in explainable artificial intelligence (XAI): an abilities-based approach.Timo Speith, Barnaby Crook, Sara Mann, Astrid Schomäcker & Markus Langer - 2024 - Ethics and Information Technology 26 (2):1-15.details
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Explainable AI in the military domain.Nathan Gabriel Wood - 2024 - Ethics and Information Technology 26 (2):1-13.details
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Narrativity and responsible and transparent ai practices.Paul Hayes & Noel Fitzpatrick - forthcoming - AI and Society:1-21.details
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AI for crisis decisions.Tina Comes - 2024 - Ethics and Information Technology 26 (1):1-14.details
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Counterfactuals as modal conditionals, and their probability.Giuliano Rosella, Tommaso Flaminio & Stefano Bonzio - 2023 - Artificial Intelligence 323 (C):103970.details
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Information-seeking dialogue for explainable artificial intelligence: Modelling and analytics.Ilia Stepin, Katarzyna Budzynska, Alejandro Catala, Martín Pereira-Fariña & Jose M. Alonso-Moral - 2024 - Argument and Computation 15 (1):49-107.details
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