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 |