Theoretical Aspects of Trustworthy AI - Introduction

In this 46-minute lecture, Professor Sanjit Seshia from the Simons Institute introduces the theoretical aspects of Trustworthy AI. Explore fundamental concepts that form the foundation for understanding how artificial intelligence systems can be designed, verified, and deployed in ways that ensure reliability, safety, and ethical compliance. Gain insights into the theoretical frameworks that underpin trustworthy AI development and the challenges researchers face in creating AI systems that humans can confidently rely upon.