Short bio
Andrea obtained a Master's degree in Physics from the University of Milan in 2005 and he got his PhD in Mathematics from ETH Zurich in 2012. He then worked for five years in industry as a consultant in data and analytics for financial services. In the period 2018-2023, he led the Mobiliar Lab for Analytics at ETH Zurich as its Scientific Director. Since 2024, he joined the Institute of Biomedical Ethics and History of Medicine (IBME), University of Zurich as Senior Research Associate. His research lies at the intersection between philosophy and technology, with a focus on epistemological and ethical problems of artificial intelligence (AI) in healthcare applications, such as the algorithmic prediction of goal of care preferences of incapacitated patients, the ethically-sensitive design of digital health interventions to manage work-related stress with mixed reality technology and the relation between explainability and trust in AI. His works appeared in Synthese, Philosophy & Technology, the Journal of Medical Ethics, Ethics and Information Technology, the Journal of Biomedical Informatics, BMC Digital Health, JMIR and Computers in Human Behavior, among others. His research has been featured in national and international media outlets, such as Tagesanzeiger, Frankfurter Allgemeine, Financial Times and The Wall Street Journal.
Research interests
- Artificial intelligence (AI)
- philosophy of AI
- explainable AI
- trust in AI
- patient decision aid systems
- advance directives
- goal of care preferences
- digital health interventions
- work-related stress
- mixed reality
Publikationen
ZORA Publication List
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Publications
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2025
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Journal Article
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Being Pragmatic About Reliance and Trust in Artificial Intelligence Minds and Machines, 36(1), 5. https://doi.org/10.1007/s11023-025-09754-9
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Social Misattributions in Conversations with Large Language Models Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 8(1), 913–925. https://doi.org/10.1609/aies.v8i1.36600
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Regulating the Undefined: Addressing Systemic Risks in the Digital Services Act (with an Appendix on the AI Act) Philosophy & Technology, 38(2), 82. https://doi.org/10.1007/s13347-025-00903-7
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Pluralism isn’t Just Methodological, it’s Political: A Response to Wörsdörfer Philosophy & Technology, 38(2), 81. https://doi.org/10.1007/s13347-025-00915-3
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Co-developing an educational platform against ageism with older adults: A use case from Switzerland Educational Gerontology, 51(12), 1256–1266. https://doi.org/10.1080/03601277.2025.2484333
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Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts Journal of Medical Internet Research, 27, e56306. https://doi.org/10.2196/56306
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Book Section
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Empathy in mental health care interventions by conversational artificial intelligence In A. Barrera (Ed.), Empathy in clinical psychiatry and mental health care : clinical, conceptual, and scientific perspectives (pp. 250–263). Oxford University Press. https://doi.org/10.1093/med/9780198917328.003.0019
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Conference or Workshop item
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Mapping and Mitigating the Pains of Responsible Artificial Intelligence Implementation: An Analysis of Swiss Organizations 119–126. https://doi.org/10.1109/sds66131.2025.00023
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Scientific Publication in Electronic Form
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Expanding HCXAI in the Age of AI Agents: Challenges and Recommendations https://doi.org/10.5281/zenodo.15170378
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2024
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Journal Article
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Justifying Our Credences in the Trustworthiness of AI Systems: A Reliabilistic Approach Science and Engineering Ethics, 30(6):55.
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Large language models in medical ethics: useful but not expert Journal of Medical Ethics, 50(9):653-654.
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Experts or Authorities? The Strange Case of the Presumed Epistemic Superiority of Artificial Intelligence Systems Minds and Machines, 34(3):30.
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The Patient Preference Predictor: A Timely Boost for Personalized Medicine The American Journal of Bioethics, 24(7):35-38.
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2023
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Journal Article
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A case for preference-sensitive decision timelines to aid shared decision-making in intensive care: need and possible application Frontiers in Digital Health, 5:1274717.
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Investigating Employees’ Concerns and Wishes Regarding Digital Stress Management Interventions With Value Sensitive Design: Mixed Methods Study Journal of Medical Internet Research, 25:e44131.
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