Explore the intersection of privacy, fairness, and collaborative AI in this insightful 33-minute talk by Yahya Hussain Essa from the University of Southern California. Delve into information-theoretic methods for trustworthy machine learning, focusing on the challenges and solutions in maintaining privacy and ensuring fairness in collaborative artificial intelligence systems. Gain valuable insights into the latest research and developments in this critical area of AI ethics and security.
Overview
Syllabus
Privacy and Fairness in Collaborative AI
Taught by
Simons Institute
