Course overview
As AI systems become increasingly capable and widely deployed, understanding how to develop and use them safely is essential. This course introduces the key principles of AI safety, examining risks that can arise from intelligent systems and approaches for making AI more reliable, robust, transparent, and aligned with intended goals. Participants will explore practical and emerging challenges associated with deploying AI responsibly across different contexts.
What you will learn:
- Fundamental principles and challenges of AI safety.
- Risks, vulnerabilities, and failure modes in AI systems.
- Approaches to AI robustness, reliability, and security.
- Transparency, interpretability, and alignment considerations.
- Responsible approaches to developing and deploying AI systems.
Follow the ‘go to course’ and sign up!