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In this 47-minute lecture from the Simons Institute's "Theoretical Aspects of Trustworthy AI" series, UC Berkeley professor Claire Tomlin explores the application of artificial intelligence in safety-critical control systems. Discover how AI technologies can be implemented in environments where system failures could lead to catastrophic consequences, examining both theoretical foundations and practical implementations. Learn about verification methods, robust control techniques, and the mathematical frameworks that ensure AI systems operate safely within defined parameters even under uncertainty or unexpected conditions.
