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Root number
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488330 |
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Semester
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FS2026 |
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Type of course
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Lecture |
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Allocation to subject
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Artificial Intelligence in Medicine |
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Type of exam
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Seminar paper |
| Title |
AI in Medicine - Ethical and Legal Issues |
| Description |
Modern medicine is increasingly shaped by artificial intelligence (AI). The current hype notwithstanding, many people worry about using AI in an area as sensitive as medicine. For instance, can we trust AI? How will trust between medical doctors and patients be affected by AI? May medicine become dehumanized? How can algorithmic bias and discrimination be avoided? What about privacy if AI needs more and more patient data? And who can be charged if things go wrong?
Questions of this kind raise deeper ethical issues that are currently being investigated in the emerging ethics of AI. They are also relevant for future legislation regarding AI.
This cours |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr. Dr.
Claus Beisbart, Institut für Philosophie - Wissenschaftsphilosophie ✉
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PD Dr.
Caroline Dorothee Brall, Institute of Philosophy ✉
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Prof. Dr.
Stavroula Mougiakakou, ARTORG Center - Artificial Intelligence in Health and Nutrition ✉
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Alceu Emanuel Bissoto, University Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) ✉
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Manuel Simon Graf, Institut für Öffentliches Recht - Öffentliches Recht 4 ✉
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PD Dr.
Matthieu Florian Queloz, Institut für Philosophie - Wissenschaftsphilosophie ✉
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ECTS
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3 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Monday 12:15-14:00 Weekly
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| Rooms |
Seminarraum 214, Hauptgebäude H4
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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