- Unnatural Images: On AI-Generated Photographs.Amanda Wasielewski - 2024 - Critical Inquiry 51 (1):1-29.details
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Beyond transparency and explainability: on the need for adequate and contextualized user guidelines for LLM use.Kristian González Barman, Nathan Wood & Pawel Pawlowski - 2024 - Ethics and Information Technology 26 (3):1-12.details
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Possibility of Scientific Explanation from Models Based on Artificial Neural Networks.Alejandro E. Rodríguez-Sánchez - 2024 - Revista Colombiana de Filosofía de la Ciencia 24 (48).details
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Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of “Responsibility” in Artificial Intelligence within the Healthcare Context.Sarah Bouhouita-Guermech & Hazar Haidar - 2024 - Asian Bioethics Review 16 (3):315-344.details
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Artificial intelligence in medical education: Typologies and ethical approaches.Agnieszka Pregowska & Mark Perkins - 2024 - Ethics and Bioethics (in Central Europe) 14 (1-2):96-113.details
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Expropriated Minds: On Some Practical Problems of Generative AI, Beyond Our Cognitive Illusions.Fabio Paglieri - 2024 - Philosophy and Technology 37 (2):1-30.details
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On the nexus between code of business ethics, human resource supply chain management and corporate culture: evidence from MENA countries.Moh'D. Anwer Al-Shboul - forthcoming - Journal of Information, Communication and Ethics in Society.details
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Algorithmic Transparency, Manipulation, and Two Concepts of Liberty.Ulrik Franke - 2024 - Philosophy and Technology 37 (1):1-6.details
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Democratizing AI from a Sociotechnical Perspective.Merel Noorman & Tsjalling Swierstra - 2023 - Minds and Machines 33 (4):563-586.details
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Explainability, Public Reason, and Medical Artificial Intelligence.Michael Da Silva - 2023 - Ethical Theory and Moral Practice 26 (5):743-762.details
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The black box problem revisited. Real and imaginary challenges for automated legal decision making.Bartosz Brożek, Michał Furman, Marek Jakubiec & Bartłomiej Kucharzyk - 2024 - Artificial Intelligence and Law 32 (2):427-440.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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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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Explainable AI tools for legal reasoning about cases: A study on the European Court of Human Rights.Joe Collenette, Katie Atkinson & Trevor Bench-Capon - 2023 - Artificial Intelligence 317 (C):103861.details
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Understanding, Idealization, and Explainable AI.Will Fleisher - 2022 - Episteme 19 (4):534-560.details
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Cognitive architectures for artificial intelligence ethics.Steve J. Bickley & Benno Torgler - 2023 - AI and Society 38 (2):501-519.details
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Toward accountable human-centered AI: rationale and promising directions.Junaid Qadir, Mohammad Qamar Islam & Ala Al-Fuqaha - 2022 - Journal of Information, Communication and Ethics in Society 20 (2):329-342.details
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Justificatory explanations in machine learning: for increased transparency through documenting how key concepts drive and underpin design and engineering decisions.David Casacuberta, Ariel Guersenzvaig & Cristian Moyano-Fernández - 2024 - AI and Society 39 (1):279-293.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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The winter, the summer and the summer dream of artificial intelligence in law: Presidential address to the 18th International Conference on Artificial Intelligence and Law.Enrico Francesconi - 2022 - Artificial Intelligence and Law 30 (2):147-161.details
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Embedded ethics: a proposal for integrating ethics into the development of medical AI.Alena Buyx, Sami Haddadin, Ruth Müller, Daniel Tigard, Amelia Fiske & Stuart McLennan - 2022 - BMC Medical Ethics 23 (1):1-10.details
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Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle.Simone Borsci, Ville V. Lehtola, Francesco Nex, Michael Ying Yang, Ellen-Wien Augustijn, Leila Bagheriye, Christoph Brune, Ourania Kounadi, Jamy Li, Joao Moreira, Joanne Van Der Nagel, Bernard Veldkamp, Duc V. Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink & Raul Zurita-Milla - forthcoming - AI and Society:1-20.details
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Openness and privacy in born-digital archives: reflecting the role of AI development.Angeliki Tzouganatou - 2022 - AI and Society 37 (3):991-999.details
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Understanding responsibility in Responsible AI. Dianoetic virtues and the hard problem of context.Mihaela Constantinescu, Cristina Voinea, Radu Uszkai & Constantin Vică - 2021 - Ethics and Information Technology 23 (4):803-814.details
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AI under great uncertainty: implications and decision strategies for public policy.Maria Nordström - 2022 - AI and Society 37 (4):1703-1714.details
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Achieving Operational Excellence Through Artificial Intelligence: Driving Forces and Barriers.Muhammad Usman Tariq, Marc Poulin & Abdullah A. Abonamah - 2021 - Frontiers in Psychology 12.details
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Detecting and explaining unfairness in consumer contracts through memory networks.Federico Ruggeri, Francesca Lagioia, Marco Lippi & Paolo Torroni - 2021 - Artificial Intelligence and Law 30 (1):59-92.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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Exploring explainable AI in the tax domain.Łukasz Górski, Błażej Kuźniacki, Marco Almada, Kamil Tyliński, Madalena Calvo, Pablo Matias Asnaghi, Luciano Almada, Hilario Iñiguez, Fernando Rubianes, Octavio Pera & Juan Ignacio Nigrelli - forthcoming - Artificial Intelligence and Law:1-29.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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Boosting court judgment prediction and explanation using legal entities.Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Luca Cagliero, Francesco Tarasconi & Elena Baralis - forthcoming - Artificial Intelligence and Law:1-36.details
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“Guess what I'm doing”: Extending legibility to sequential decision tasks.Miguel Faria, Francisco S. Melo & Ana Paiva - 2024 - Artificial Intelligence 330 (C):104107.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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Is this a violation? Learning and understanding norm violations in online communities.Thiago Freitas dos Santos, Nardine Osman & Marco Schorlemmer - 2024 - Artificial Intelligence 327 (C):104058.details
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Human performance consequences of normative and contrastive explanations: An experiment in machine learning for reliability maintenance.Davide Gentile, Birsen Donmez & Greg A. Jamieson - 2023 - Artificial Intelligence 321 (C):103945.details
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Attitudinal Tensions in the Joint Pursuit of Explainable and Trusted AI.Devesh Narayanan & Zhi Ming Tan - 2023 - Minds and Machines 33 (1):55-82.details
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Creating meaningful work in the age of AI: explainable AI, explainability, and why it matters to organizational designers.Kristin Wulff & Hanne Finnestrand - forthcoming - AI and Society:1-14.details
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Subjectivity of Explainable Artificial Intelligence.Александр Николаевич Райков - 2022 - Russian Journal of Philosophical Sciences 65 (1):72-90.details
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Local and global explanations of agent behavior: Integrating strategy summaries with saliency maps.Tobias Huber, Katharina Weitz, Elisabeth André & Ofra Amir - 2021 - Artificial Intelligence 301 (C):103571.details
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How Much Should You Care About Algorithmic Transparency as Manipulation?Ulrik Franke - 2022 - Philosophy and Technology 35 (4):1-7.details
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Thirty years of artificial intelligence and law: the third decade.Serena Villata, Michal Araszkiewicz, Kevin Ashley, Trevor Bench-Capon, L. Karl Branting, Jack G. Conrad & Adam Wyner - 2022 - Artificial Intelligence and Law 30 (4):561-591.details
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An experiential account of a large-scale interdisciplinary data analysis of public engagement.Julian “Iñaki” Goñi, Claudio Fuentes & Maria Paz Raveau - 2023 - AI and Society 38 (2):581-593.details
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AI models and the future of genomic research and medicine: True sons of knowledge?Harald König, Daniel Frank, Martina Baumann & Reinhard Heil - 2021 - Bioessays 43 (10):2100025.details
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On Explainable AI and Abductive Inference.Kyrylo Medianovskyi & Ahti-Veikko Pietarinen - 2022 - Philosophies 7 (2):35.details
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Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system.Doron Kliger, Tsvi Kuflik & Avital Shulner-Tal - 2022 - Ethics and Information Technology 24 (1).details
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Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable.Auste Simkute, Ewa Luger, Bronwyn Jones, Michael Evans & Rhianne Jones - 2021 - Journal of Responsible Technology 7-8 (C):100017.details
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(1 other version)The role of empathy for artificial intelligence accountability.Ramya Srinivasan & Beatriz San Miguel González - 2022 - Journal of Responsible Technology 9 (C):100021.details
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A sociotechnical perspective for the future of AI: narratives, inequalities, and human control.Andreas Theodorou & Laura Sartori - 2022 - Ethics and Information Technology 24 (1):1-11.details
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(1 other version)The role of empathy for artificial intelligence accountability.Ramya Srinivasan & Beatriz San Miguel González - 2022 - Journal of Responsible Technology 9 (C):100021.details
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Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research.Milad Mirbabaie, Lennart Hofeditz, Nicholas R. J. Frick & Stefan Stieglitz - 2022 - AI and Society 37 (4):1361-1382.details
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