https://www.scgcorp.com/ethicalframework2024/docs/

National Institute of Health Office of Data Science Strategy
Toward an Ethical Framework for Artificial Intelligence in Biomedical and Behavioral Research:
Transparency for Data and Model Reuse Workshop

Rockledge II — 6701 Rockledge Drive, Bethesda, MD
Wednesday, January 31, 2024, 1:00 p.m. – 5:10 p.m. EST
Thursday, February 1, 2024, 9:00 a.m. – 5:00 p.m. EST
Friday, February 2, 2024, 8:30 a.m. – 12:15 p.m. EST

Virtual Agenda

Day 1: Wednesday, January 31, 2024

1:00 p.m. – 1:05 p.m. Welcome and Logistics
Laura Biven, Ph.D.
Data Science Technical Lead, Office of Data Science Strategy (ODSS),
National Institutes of Health (NIH)
1:05 p.m. – 1:15 p.m. Welcoming Remarks
Susan K. Gregurick, Ph.D.
Director of the Office of Data Science Strategy, Associate Director for Data Science, ODSS, NIH
1:15 p.m. – 1:35 p.m. Workshop Goals and Expectations; Stakeholder Mapping/Setting Expectations
Laura Biven, Ph.D.
Data Science Technical Lead, ODSS, NIH
1:35 p.m. – 1:55 p.m. Introduction to Transparency
Julia Stoyanovich, Ph.D.
Associate Professor, Department of Computer Science and Engineering, Tandon School of Engineering, and the Center for Data Science, New York University
1:55 p.m. – 2:15 p.m. What Could Go Wrong?
Tina Hernandez-Boussard, Ph.D.
Professor of Medicine, Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health, Stanford University School Medicine
2:15 p.m. – 4:05 p.m. Break for virtual participants
4:05 p.m. – 4:45 p.m. Plenary Readout and Discussion
4:45 p.m. – 5:00 p.m. Summary Remarks and Day 1 Closing
Aaron Lee, M.D., M.S.C.I.
Associate Professor, Department of Ophthalmology, University of Washington

Day 2: Thursday, February 1, 2024

9:00 a.m. – 9:05 a.m. Welcome
Laura Biven, Ph.D
Data Science Technical Lead, ODSS, NIH
9:05 a.m. – 9:25 a.m. The Current State of Data and Model Transparency
Aaron Lee, M.D., M.S.C.I.
Associate Professor, Department of Ophthalmology, University of Washington
9:25 a.m. – 9:35 a.m. Morning Plenary Session—Recap and Expectations
Laura Biven, Ph.D.
Data Science Technical Lead, ODSS, NIH
9:35 a.m. – 11:30 a.m. Break for virtual participants
11:30 a.m. – 12:10 p.m. Plenary Readout (5 minutes for each breakout group recap)
12:10 p.m. – 3:45 p.m. Break
3:45 p.m. – 4:45 p.m. Plenary Readout Session and Discussion (5 minutes for each breakout group plus 30 minutes for discussion)
Hybrid discussion with virtual and in-person participants
4:45 p.m. – 5:00 p.m. Day 2 Closing Remarks
Julia Stoyanovich, Ph.D.
Associate Professor, Department of Computer Science and Engineering, Tandon School of Engineering, and the Center for Data Science, New York University

Day 3: Friday, February 2, 2024

8:30 a.m. – 8:45 a.m. Recap of Day 2
Tina Hernandez-Boussard, Ph.D.
Professor of Medicine, Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health, Stanford University School of Medicine
8:45 a.m. – 9:45 a.m. Continued Plenary Discussion on Transparency Guidance and Capability Gaps
Hybrid discussion with virtual and in-person participants.
9:45 a.m. – 11:15 a.m. Break for virtual participants
11:15 a.m. – 12:00 p.m. Plenary Readout Session and Discussion (5 minutes for each breakout and 20 minutes of open discussion)
Hybrid discussion with virtual and in-person participants.
12:00 p.m. – 12:15 p.m. Closing Plenary Talk and Thanks (NIH speakers and co-chairs)
12:15 p.m. Workshop Adjourns