Privacy-Preserving AI - Andrew Trask, University of Oxford

Explore privacy-preserving AI techniques with Andrew Trask from the University of Oxford in this 38-minute lecture. Delve into key concepts such as differential privacy, indifference privacy, and federated learning while examining the balance between privacy and transparency in AI systems. Gain insights into shared governance models and strategies for implementing privacy-preserving measures in artificial intelligence applications.

Intro
Agenda
Outline
What is privacy
Privacy and transparency
Im
Strategy
Survey
Differential Privacy
Indifference Privacy
Federated Learning
Shared Governance