How can organisations ensure that AI systems are fair, reliable and compliant? This practical course shows you how to assess AI bias and performance testing practices in support of effective risk management and regulatory compliance. Through clear explanations, actionable frameworks and real-world case studies, you will learn to identify sources of bias, interpret key performance and fairness metrics, evaluate audit evidence, and align oversight with the EU AI Act. By the end of the course, you will be equipped to challenge assumptions, strengthen controls and support accountable AI deployment.