Awarded in 2022
Home Department: Electrical Engineering
Faculty Advisors: James Zou (Biomedical Data Science) and Daniel Ho (Law and Political Science)

Research Title: How Should We Evaluate and Regulate Medical AI Algorithms?

Research Description: Despite the rapid proliferation of medical AI research, regulatory standards in the US have still lagged behind the pace of technological development. This creates the risk of disparate outcomes for underrepresented populations as well as unintended harm on all patients. Through this fellowship, Eric aims to address this gap by 1) studying how medical AI algorithms may exhibit performance disparities on different patient populations, 2) developing methods to help regulators evaluate model biases, and 3) studying AI governance across various public agencies for guidance on medical AI regulation. The success of this work will help advance safe and effective use of medical AI.