EPI 220: Deploying and Evaluating Fair AI in Healthcare (BMDS 223, CSRE 323)

Course Description

AI's transformative potential in healthcare is immense, but its real-world impact depends on our ability to design, evaluate, and deploy it responsibly. This course provides a comprehensive framework for navigating the entire AI lifecycle¿from problem identification and data selection to model evaluation, auditing, regulatory approval, and post-deployment monitoring. You will learn the core components of Responsible AI, including fairness assessments, interpretability techniques, and robustness checks, all through the lens of real-world healthcare applications. In this class you will gain the practical skills to ensure AI solutions are not only accurate but also safe, effective, and applicable for all populations. As AI is poised to disrupt every part of healthcare, this course will equip you to not just witness the revolution, but to lead it.