Publications

Patrik Hummel, Matthias Braun, Serena Bischoff, David Samhammer, Katharina Seitz, Peter A. Fasching, Peter Dabrock. Perspectives of patients and clinicians on big data and AI in health: a comparative empirical investigation. AI & Society, 2024.
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Evgeni Aizenberg, Matthew J. Dennis, Jeroen van den Hoven. Examining the assumptions of AI hiring assessments and their impact on job seekers’ autonomy over self-representation. AI & Society, 2023.
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Luca Malinverno, Vesna Barros, Francesco Ghisoni, Giovanni Visonà, Roman Kern, Philip J. Nickel, Barbara Elvira Ventura, Ilija Šimić, Sarah Stryeck, Francesca Manni, Cesar Ferri, Claire Jean-Quartier, Laura Genga, Gabriele Schweikert, Mario Lovrić, Michal Rosen-Zvi. A Historical Perspective of Biomedical Explainable AI Research. Patterns, 2023.
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DIN SPEC 92001-3. Artificial Intelligence - Life Cycle Processes and Quality Requirements - Part 3: Explainability. DIN Deutsches Institut für Normung, 2023.
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Gunter Bombaerts, Joel Anderson, Matthew J. Dennis, Alessio Gerola, Lily Frank, Tom Hannes, Jeroen Hopster, Lavinia Marin, Andreas Spahn. Attention as Practice. Buddhist Ethics Responses to Persuasive Technologies. Global Philosophy, 2023.
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Elizabeth O'Neill, Michal Klincewicz, Michiel Kemmer. Ethical Issues with Artificial Ethics Assistants. The Oxford Handbook of Digital Ethics, 2022.
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Minha Lee, Lily Frank, Yvonne de Kort, Wijnand Ijsselsteijn. Where is Vincent? Expanding our emotional selves with AI. CUI ‘22, 2022.
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Emily Sullivan, Philippe Verreault-Julien. From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse. AIES ‘22, 2022.
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Emily Sullivan. Inductive Risk, Understanding, and Opaque Machine Learning Models. Philosophy of Science, 2022.
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Matthias Braun, Patrik Hummel. Data Justice and Data Solidarity. Patterns, 2022.
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Carlos Zednik, Hannes Boelsen. Scientific Exploration and Explainable Artificial Intelligence. Minds and Machines, 2022.
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Emily Sullivan. Understanding from Machine Learning Models. The British Journal for the Philosophy of Science, 2022.
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Philip J. Nickel. Trust in Medical Artificial Intelligence: A Discretionary Account. Ethics and Information Technology, 2022.
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Carlos Zednik. Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence. Philosophy & Technology, 2021.
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Andreas Spahn. Digital Objects, Digital Subjects and Digital Societies: Deontology in the Age of Digitalization. Information, 2020.
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