Responsible Data Science

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

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