Responsibly Improving AI with Privacy-Sensitive Data: Principles, Theory, and Practice | Richard M. Karp Distinguished Lecture

Brendan McMahan examines how AI systems can learn from high-quality information that is distributed and privacy-sensitive. He introduces principles for precise discussions of privacy and AI, then connects them to the theory and practical methods needed in real applications, including work on decentralised and privacy-preserving learning.