IRC Seminar presented by Dr Emanuele Ratti - 'A Capability Approach to AI Ethics'
Presenter: Dr Emanuele Ratti (BA, MPhil, MA, PhD) is a Lecturer in the Department of Philosophy, and works in Philosophy of Science and Technology, with a focus on contemporary biology and AI.
Event information | |
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Date | 21 March 2025 |
Time | 13:00-14:00 (Timezone: Europe/London) |
Price | Free |
Venue | Henley Business School LG01 |
Event types: |
Abstract
Dr Emanuele Ratti proposes a conceptualization and implementation of AI Ethics via the capability approach. Dr Ratti aims to show that conceptualizing AI Ethics through the capability approach has two main advantages for AI Ethics as a discipline. First, it helps clarify the ethical dimension of AI systems. Second, it provides guidance to implementing ethical considerations within the design of AI systems. Dr Ratti illustrates these advantages in the context of AI systems in healthcare, by showing how ethics-based auditing of AI systems can greatly benefit from a capability-based approach.
Presenter Bio
Dr Emanuele Ratti (BA, MPhil, MA, PhD) is a Lecturer in the Department of Philosophy, and works in Philosophy of Science and Technology, with a focus on contemporary biology and AI.
He has worked as non-tt assistant professor at the Institute of Philosophy and Scientific Method at Johannes Kepler University Linz from 10/20 to 12/22. Before JKU, he worked for almost five years at the University of Notre Dame, first as a postdoc, and then as a Visiting Assistant Professor in the Reilly Center for Science, Technology, and Values (with a joint appointment in the Technology Ethics Center). He has been an instructor in the CODATA-RDA Schools of Research Data Science.
Dr Ratti holds a PhD in Ethics and Foundations of the Life Sciences from the European School of Molecular Medicine (aka SEMM) in Milan (Italy). This was the first graduate program globally to systematically embed philosophers in biomedical labs. He also holds a Master in philosophy of information from the University of Hertfordshire, supervised by Luciano Floridi.
For the link to join online via Teams, please email DME.office@henley.ac.uk
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