Bias, Discrimination, and Fairness

Course Description

This bite-size course shows how AI systems can encode and amplify bias, what that means for discrimination and fairness, and how to respond responsibly. You’ll learn practical ways to surface and measure bias, weigh fairness trade-offs, and design redress mechanisms so decisions remain transparent and accountable.

Who Should Take This Course

Ideal for managers, product owners, HR and compliance leaders, risk and policy teams, and data/ML practitioners who need a clear, business-ready understanding of responsible AI. Suits non-technical and technical learners working in organisations that are adopting or procuring AI.

Prerequisites

No prior experience needed.

What You Will Learn

• Recognise common sources and types of AI bias across data, models, and user experience.
• Apply lightweight bias detection and auditing methods suitable for real-world workflows.
• Interpret key fairness metrics and navigate trade-offs to fit organisational goals.
• Plan mitigation strategies and document decisions for accountability and governance.
• Design redress and user recourse pathways that are clear, timely, and auditable.