Silvia
Milano
I'm a philosopher interested in how AI affects us as rational beings: how algorithms can influence what we know, what we value, and who we become. I bring formal and social epistemology, ethics and philosophy of technology to bear on these questions.
Before joining TUM, I was a Senior Lecturer in Philosophy at the University of Exeter, and a Humboldt Fellow at the Munich Centre for Mathematical Philosophy, LMU Munich.
Prior to that, I spent a few years researching AI ethics in Oxford, first as a Postdoctoral Researcher at the Oxford Internet Institute, and then as a Research Fellow in Philosophy and William Golding Junior Research Fellow at Brasenose College.
I completed my PhD in Philosophy at the London School of Economics and Political Science in 2018.
Current projects
Algorithmic Recommendation
What recommender systems do to knowledge, values, and autonomy, and what ethical and regulatory frameworks can address the harms they cause.
AI & Epistemic Justice
How AI systems mediate our knowledge and fragment our experience of the world, becoming sources of epistemic polarisation and hermeneutical injustice.
Formal Epistemology
Bayesian approaches to de se belief and rational updating under uncertainty and what these frameworks reveal about agency, including in AI-mediated environments.
Publications
Recent work
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2025
Computer, 58(4), 95–99
How to Foster Responsible and Resilient Data: The Ethical Data Initiative
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2025
Philosophical Studies, 182(1), 185–203
Algorithmic profiling as a source of hermeneutical injustice
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2024
Nature Machine Intelligence, 6(8), 846–847
Advanced AI assistants that act on our behalf may not be ethically or legally feasible
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2024
Economics and Philosophy, 40(1), 190–211
News & events
Recent activity
RDA Webinar on Recommender Systems for Social Good
Online webinar across multiple time zones. Recordings and slides available on the RDA website.
"Wir brauchen Schutzmechanismen" — IPAI Impact Magazin
Interview on responsibility and trust in interacting with AI assistants.
Large Language Models in Teaching and Research
Public lecture at LMU Munich, followed by a panel discussion with Profs. Frauke Kreuter, Albrecht Schmidt and Peter Adamson