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Fairness in AI

Fundamentals

Principle that models should not discriminate against groups.


Fairness aims to minimize unjustified differences in model predictions or decisions.

  • Perspectives: Individual vs. group fairness.
  • Metrics: Demographic parity, equalized odds, predictive parity.
  • Practice: Make trade-offs transparent, include affected stakeholders, monitor continuously.