As AI increasingly enters clinical practice, several legal and ethical issues confront clinicians, health systems, and patients. Who is liable when things go wrong? What should patients be told, and to what do they need to consent? What should be written down in the clinical record? This talk will address questions of liability, informed consent, and documentation, especially when clinicians and AI models disagree.Nicholson Price is a Professor of Law and a Professor of Learning Health Sciences at the University of Michigan. He studies how law shapes biomedical innovation, especially medical AI. His work has appeared in Science, Nature, JAMA, NEJM, and leading law reviews. He teaches patents, health law, life sciences innovation, AI law, and science fiction and the law. Nicholson is a Senior Fellow at the University of Copenhagen Center for Advanced Studies in Bioscience Innovation Law and a Celadon Fellow at Seoul National University Center for Trustworthy AI. He holds a Biological Sciences PhD and a JD from Columbia.
- Identify key legal and ethical issues raised by medical AI in clinical practice.
- Examine liability questions when clinicians rely on or disagree with AI models.
- Understand informed consent requirements for patients when AI is used in care.
- Explore best practices for documentation when clinicians and AI recommendations diverge.
Legal and Ethical Issues of Medical AI
Webinar Date+Time:
Wednesday, October 28, 2026
Noon ET | 11 AM CT | 10 AM MT | 9 AM PT
Register Now For This Free Continuing Legal Education Webinar!
Speaker:
Nicholson Price.
By:
Case Western Reserve University School of Law
Credit:
1 credit hour in Ohio.
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