Trusted Artificial Intelligence and Autonomous Systems

Catalog description

This course explores the critical intersection of trustworthiness and autonomy in the age of artificial intelligence. It offers insights into the core principles of autonomous AI, emphasizing transparency, explainability, fairness, and robustness. Students will engage with real-world case studies, explore regulatory landscapes, and partake in hands-on labs to apply theoretical knowledge. This course prepares students to design, evaluate, and manage trustworthy autonomous technologies in our AI-driven world.