OasisLMS

Our September session focuses on the Encoding Equity AI Implementation Toolkit. Developed by the Encoding Equity Alliance AI/Tech Task Force, the toolkit supports the development and deployment of AI systems that improve health outcomes and are scientifically rigorous, ethically grounded, and equitably aligned by eliminating the inappropriate use of race as a proxy variable.

This session features:
- Leo Anthony Celi, MD, MPH, MSc, Senior Research Scientist, Massachusetts Institute of Technology; Clinical Research Director, Laboratory of Computational Physiology
- Tina Hernandez-Boussard, PhD, MPH, MS, FACMI, Associate Dean for Research; Professor of Medicine, Biomedical Data Science, Surgery, Epidemiology and Population Health
- Rawan Abulibdeh, Postdoctoral Research Fellow, University Health Network, University of Toronto

Moderated by Seun Ross, DNP, MS, CRNP-F, NP-C, Advisor, Encoding Equity Alliance.