Moderators:

Daniel Yang, MD, Program Director, Gordon and Betty Moore Foundation

Tommy Wang, PhD, Program Officer, Gordon and Betty Moore Foundation

The goal of this session is to identify the following:

• How does the variable of race impact health equity in newly emerging machine learning-based clinical algorithms (differently from non-ML algorithms)? What are additional, accentuated, and de-emphasized risks and challenges related to the use of novel AI/ML algorithms? 
• What are some of the methodological and technology/software approaches that will help de-risk these challenges in AI/ML algorithms and investigate algorithm impact on subpopulations? How might these approaches be applicable to non-ML algorithms?