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.
We'll cover the following...
We'll cover the following...
What are reductions?
Reduction approaches take an arbitrary model and attempt to de-bias it according to a selected constraint, commonly demographic parity, equalized odds, or equal opportunity. Still, technically, it can be any other metric. ...