Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods

Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti

Developing AI tools that preserve fairness is of critical importance, specifically in high-stakes applications such as those in healthcare. However, health AI models' overall predi…