User Guide

• Fairness in Machine Learning
  • Fairness of AI systems
  • Types of harms
  • Concept glossary
    • Construct validity
  • Fairness assessment and unfairness mitigation
    • Group fairness, sensitive features
    • Parity constraints
    • Disparity metrics, group metrics
  • What traps can we fall into when modeling a social problem?
    • The Solutionism Trap
    • The Ripple Effect Trap
    • The Formalism Trap
    • The Portability Trap
    • The Framing Trap
• Assessment
  • Metrics
    • Ungrouped Metrics
    • Metrics with Grouping
    • Scalar Results from MetricFrame
    • Control features for grouped metrics
    • Plotting grouped metrics
  • Fairlearn dashboard
• Mitigation
  • Preprocessing
  • Postprocessing
  • Reductions
    • Fairness constraints for binary classification
    • Fairness constraints for multi-class classification
    • Fairness constraints for regression
    • Exponentiated Gradient
    • Grid Search
• Installation and version guide
  • Installation Guide
    • Installation
    • Dependencies
  • Version guide
    • v0.1
    • v0.2.0
    • v0.3.0
    • v0.4.0
    • v0.4.1
    • v0.4.2
    • v0.4.3
    • v0.4.4
    • v0.4.5
    • v0.4.6
    • v0.5.0
    • v0.6.0
    • v0.6.1
    • v0.6.2
    • v0.7.0
    • v0.7.1
• Further Resources
  • Books
  • Papers
  • Online demos, talks, tutorials