Responsible AI Foundations

Course overview

Introduction to trustworthy AI principles: framework, core concepts and practical takeaways. The course breaks down governance, responsibilities and key considerations for designing, evaluating and overseeing systems that meet ethical and regulatory expectations.

Covers foundational trustworthy AI principles and their operational implications.

Explains key concepts (bias, transparency, robustness, privacy) and how to embed them into product lifecycles.

Summarises practical takeaways to hold teams accountable and set up internal governance structures.