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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2021
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Journal Article
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Trust does not need to be human: it is possible to trust medical AI. Journal of Medical Ethics, 47(6):437-438.
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Coping With Imbalanced Data in the Automated Detection of Reminiscence From Everyday Life Conversations of Older Adults. IEEE Access, 9:116540-116551.
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2020
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Journal Article
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Social reminiscence in older adults' everyday conversations: automated detection using natural language processing and machine learning. Journal of Medical Internet Research, 22(9):e19133.
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Working Paper
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AI support for ethical decision-making around resuscitation: proceed with care. medRxiv 20171769, Cold Spring Harbor Laboratory.
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2019
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Journal Article
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In AI We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions. Philosophy & Technology:1-17.
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