Reductions

Explore reduction techniques for AI fairness that train multiple weighted classifiers to minimize bias under constraints such as demographic parity or equalized odds. Learn to apply methods like GridSearch and ExponentiatedGradient to improve fairness metrics without compromising accuracy.