Artificial Intelligence systems are reshaping the landscape of modern medicine and scientific research. With such transformation comes a critical provocation: How do we ensure AI governance remains ethical and trustworthy, rather than merely compliant? 

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This kickoff event of the "Reprogramming Governance" series brings together a multidisciplinary panel of experts in AI ethics, healthcare, and law to explore the frameworks and oversight mechanisms necessary to ensure that AI serves the interests of patients and society at large.

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Featured Speakers: 

• Michelle M. Mello, Professor of Law and Health Policy, Stanford University.
   

• I. Glenn Cohen, Professor of Law and Faculty Director of the Petrie-Flom Center for Health Law Policy, Biotechnology & Bioethics, Harvard University. 
   

• Sandra Soo-Jin Lee, Chief of the Division of Ethics and Professor of Medical Humanities and Ethics, Columbia University.
   

• Noémie Elhadad, Chair and Associate Professor of Biomedical Informatics, Vice Dean for AI Initiatives for the Vagelos College of Physicians and Surgeons, Columbia University.

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Event Schedule:

• 8:30 AM — Breakfast & Coffee

• 9:00 AM — Opening Provocations

• 9:30 AM — Speaker Presentations

• 10:45 AM — Panel Discussion

  • What does ethical AI mean for patient care?

  • What does institutional accountability actually require in practice?

  • Who bears the burden of proof when AI causes harm?

  • How do we evaluate whether an AI system is trustworthy enough to deploy?

• 11:45 AM — Moderated Q&A 

• 12:30 PM — Lunch Reception

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Can Artificial Intelligence tools be leveraged to increase health access and equity? This design sprint brings together students, clinicians, technologists, and community organizations to design human-centered solutions that prioritize the needs of patients, clinicians, and advocates.

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Participants will work with synthetic datasets modeled on real challenges submitted by partner organizations, culminating in a project showcase and awards across technical innovation, ethical rigor, and community engagement.

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Featured Speakers:

• James Fruchterman, Founder and CEO of Tech Matters, author of Technology for Good. 

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• Chris H. Wiggins, Associate Professor of Applied Mathematics and Systems Biology, Columbia University, and Chief Data Scientist at The New York Times. 
   

Partner Organizations: 

• Partner organizations to be announced.

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Event Schedule:

Day 1

• 11:00 AM — Breakfast & Coffee

• 11:15 AM — Opening Keynote 

• 12:15 PM — Challenge Overviews & Team Formation

• 1:40 PM — AWS Tutorial

• 3:15 PM — Open Designing

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Day 2

• 2:00 PM — Opening Remarks

• 2:10 PM — Project Showcase

• 4:10 PM — Judging

• 4:30 PM — Award Ceremony

• 4:40 PM — Networking Reception

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As Artificial Intelligence systems become increasingly embedded in healthcare systems and clinical settings, ensuring they remain ethical and trustworthy becomes a crucial

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This closing event of the "Reprogramming Governance" series turns to the practical work of evaluating AI tools for bias, fairness, generalizability, and reproducibility in clinical settings, asking who holds the authority to audit clinical AI and what counts as sufficient evidence prior to deployment.

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Featured Speakers: 

• Mary L. Gray, Senior Principal Researcher at Microsoft Research and Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society.

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• Divya Shanmugam, National Library of Medicine Fellow, Department of Biomedical Informatics, Columbia University.

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*Full program details, including speakers and schedule, will be announced soon.

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