Course topics
- Introduction to facets of FACT
- Fairness
- Accountability
- Confidentiality
- Transparency
- Formalizing fairness and mitigating discrimination
- Formalizing (group) fairness in Automated Decision-Making
- Fairness-aware classification approaches
- Removing bias from the training set
- Fairness-aware model induction/selection]
- Adjusting the induced model to make it (more) fair
- Fairness, AI audit, and XAI
- Explainable AI
- LIME, SHAP, Anchor
- Counterfactual explanations, FACE