CAIMed Meet-Up: Ethics of AI in Medicine
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CAIMed Meet-Up: Ethics of AI in Medicine
How can ethics and law help to shape the implementation of AI in near-by and future medicine? Who takes the responsibility when AI fails? Do you trust your doctor? Do you trust AI? Does your AI trust your doctor?
In this CAIMED meet-up we explore and discuss jointly what are ethical issues and legal boundaries of future AI in medicine? How can ethics help to shape interdisciplinary discussions beyond technical questions in research?
We are pleased to invite you to the upcoming CAIMed Meet-up on 03 November 2025 – 11:30 a.m. to 4:45 p.m. at Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG), Burckhardtweg 4, 37077 Göttingen (maps link).
Agenda
11:30 a.m. - 11:45 a.m. Welcome and Survey 1 (Prof. Dr. Silke Schicktanz, Prof. Dr. Nils Hoppe)
11:45 a.m. – 12:15 p.m. Impulse Talk 1 / Ethics of Medical AI (Dr. Thomas Grote, University of Tübingen)
12:15 p.m. – 12:45 p.m. Impulse Talk 2 / Legal Issues of the EU AI ACT (Prof. Dr. Hannah Ruschemeier, University of Osnabrück)
12:45 p.m. – 1:45 p.m. Lunch Break
1:45 p.m. – 3:45 p.m. The Worlds of AI Ethics (4 World Cafés)
- Causality: Conception and understanding (Moderation: Dr. Lorina Buhr, K. Lenhof)
- Interaction: AI-Doctor-Patient (Moderation: Lea Nickel, Prof. Dr. Silke Schicktanz)
- Regulation and policy: AI governance (Moderation: Prof. Dr. Nils Hoppe, Dr. Rosa E. Martín Peña, R. Rushwaya)
- Databases: Data Ethics (Moderation: Christian Loos, Dr. N. Rimon-Zarfaty.)
3:45 p.m. – 4:15 p.m. Presentations of the 4 world café groups
4:15 p.m. – 4:45 p.m. Discussion and Wrap-Up
CAIMed is funded by the Ministry of Science and Culture of Lower Saxony with funds from the program zukunft.niedersachsen of the VolkswagenStiftung.
Ticket(s)
CAIMed is the Lower Saxony research center for artificial intelligence and causal methods in medicine. We develop innovative methods for improved, personalized healthcare and contribute to the management of widespread diseases such as cancer, cardiovascular diseases and infections. The combination of excellent locations in Lower Saxony for methodical AI research, data-intensive medicine, medical informatics and basic medical research creates a unique flagship project for research into AI and personalized medicine.
CAIMed relies on the linking of research data, clinical data and patient care data as well as the use of artificial intelligence and causal methods. This enables prevention, diagnostics, therapy and monitoring of therapeutic success to become more effective and efficient and the individual needs of each person to be better identified and served.