Lunch Series
In cooperation with the Collaborative Research Centre EmpkinS and Transdisciplinary Research Area "Life & Health" (University of Bonn), the Social Ethics Group regularly organises talks on "Ethics, AI and Health".
Over lunch, the lectures offer the opportunity to learn more about a selected topic and then discuss it with renowned researchers. Anyone interested is welcome to attend!
Where and When
Selected Thursdays
12:30 - 13:30
The events usually take place via Zoom. Rgeistration is possible via: https://eveeno.com/240386573
Lunch Series 2024
Bjoern Eskofier, FAU Erlangen-Nürnberg: AI for Future Healthcare
Brian Earp, University of Oxford: Digital Doppel-gangers in Healthcare: From Substituted Judgment to “Life” Extension
Natalie Smuha, KU Leuven: The ethics of AI-therapists
Please not: This time, the event will start at 2 p.m.
Jantina de Vries, University of Cape Town: Opportunities and challenges for Ethics, AI and Health in South Africa
I. Glenn Cohen, Harvard Law School: AI in Medicine: Legal and Ethical Issues
Please not: This time, the event will start at 3 p.m.
Kathryn MacKay, University of Sydney: Public Health, Pluralism, and the Telos of Political Virtue
Lunch Series 2023
Ariel Dora Stern, Harvard Business School: The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
Please not: This time, the event will start at 9 a.m. – you are welcome to bring your breakfast!
Daniel Tigard, University of San Diego: Embedded Ethics in Theory and Practice
Please not: This time, the event will start at 6 p.m. – you are welcome to bring your dinner!
Sandra Wachter, University of Oxford: The Theory of Artificial Immutability: Protecting Algorithmic Groups under Anti-Discrimination Law
Giulia Cavaliere, King's College London: "This is not an abortion". How To (And Not To)
Theorise on Abortion in Light of Technological Developments
Karin Jongsma, Utrecht University: More than the sum of its parts? The ethics of human-AI collaboration in medicine
Mark Gaffley, Research ICT Africa: Ethical Considerations of AI in Health Care: A Prognosis from Sub-Saharan Africa
