Healthcare AI Standards and Equity

This chapter explores the crucial need for standardized regulations in healthcare AI to foster innovation while maintaining coherence across health systems. It emphasizes the evaluation of AI algorithms using defined criteria to ensure trust and accuracy, addressing potential biases in healthcare data. The discussion also examines the role of AI assurance labs in promoting transparency and equity, amidst ongoing political debates surrounding federal regulation.