When Clinical Judgement and AI Diverge: The Clinical, Legal, and Ethical Considerations
Monday, February 9, 2026
9:00 am - 5:00 pm


This event will address instances where artificial intelligence and human clinical judgment do not agree, and why these moments of “human–AI dissonance” may become one of the most consequential frontiers in modern medicine.
Through case-based perspectives from radiology, surgery, and nursing, the program explores how clinicians are responding to AI-driven recommendations in real clinical environments. Legal, regulatory, and ethical experts will also address emerging questions of documentation, liability, patient transparency, and shared decision-making. The conversation will look ahead to emerging tools such as digital twins and next-generation clinical infrastructures, exploring how disagreement, accountability, and trust may be intentionally designed into the future of AI-enabled care.
This event is part of the Frontiers in Data Science and AI initiative at the Data Science Institute, Columbia University.
Location: Columbia University Irving Medical Center
Address: 50 Haven Avenue, New York, NY 10032 – Map
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Details below subject to change:
9:00 AM – 9:15 AM: Welcome and overview (15 min)
9:15 AM – 9:45 AM: What is AI and how is it being used for clinical decision-making? (30 min)
9:45 AM – 10:15 AM: What is human-AI dissonance and why is it important? (30 min)
10:15 AM – 10:30 AM: Break (15 min)
10:30 AM – 11:30 AM: How should human-AI dissonance be addressed clinically? (60 min)
11:30 AM – 12:00 PM: Q&A (30 min)
12:00 PM – 1:00 PM: Lunch (60 min)
1:00 PM – 1:45 PM: How should human-AI dissonance be addressed legally? (45 min)
1:45 PM – 2:15 PM: Q&A (30 min)
2:15 PM – 3:00 PM: How should human-AI dissonance be addressed ethically? (45 min)
3:00 PM – 3:30 PM: Q&A (30 min)
3:30 PM – 4:00 PM: Summary of key points and conclusion (30 min)
4:00 PM – 5:00 PM: Networking reception (in-person – 60-min)
Listed in order of program:

Host & DSI Frontiers Awardee: Robert Klitzman
Professor of Psychiatry (in Sociomedical Sciences), Columbia University Irving Medical Center; Program Director, Bioethics Program, School of Professional Studies, Columbia University

Beth Percha
Chief Data and Analytics Officer at NewYork-Presbyterian Hospital; and Adjunct Assistant Professor, Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University
Abstract Coming Soon

Co-Host: Charles E. Binkley
Director of AI Ethics and Quality, Hackensack Meridian Health; and Lecturer in Bioethics, School of Professional Studies, Columbia University
Abstract Coming Soon

Florence Doo
Assistant Professor, Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine; Director of Innovation, University of Maryland Medical Intelligent Imaging (UM2ii) Center; and Faculty, University of Maryland-Institute for Health Computing (UM-IHC)
Abstract Coming Soon

Gabriel Brat
Assistant Professor of Surgery, Beth Israel Deaconess Medical Center; and Assistant Professor of Biomedical Informatics, Harvard Medical School
Abstract Coming Soon

Sarah Collins Rossetti
Associate Professor of Biomedical Informatics and Nursing, Columbia University Irving Medical Center
Abstract Coming Soon

Nicholson Price
Professor of Law, University of Michigan
Abstract Coming Soon

Nancy Berlinger
Senior Research Scholar, The Hastings Center for Bioethics
Abstract Coming Soon