Algorithmic Fairness: A Runtime Perspective

Filip Cano, Thomas A. Henzinger, Konstantin Kueffner

Fairness in AI is traditionally studied as a static property evaluated once, over a fixed dataset. However, real-world AI systems operate sequentially, with outcomes and environmen…