The course is divided in 5 Milestones:
- Milestone 1: Conceptual Introduction to Fairness
- Milestone 2: The legislative context
- Milestone 3: Sources, Forms and Quantification of Bias in AI
- Milestone 4: Mitigating Algorithm Bias and Discrimination in Supervised Learning
- Milestone 5: Trade-offs and Interactions of Bias and Discrimination with other verticals in Trustworthy AI