This course focuses on a range of safety-issue of AI systems, such as robustness, backdoor-freeness, fairness, privacy, safety alignment, hallucination, interpretability, and agentic AI safety. What is covered include systematic ways of evaluating whether a given AI system satisfies different quality metrics, and how to improve the AI system’s safety systematically.