Targeted Learning for Inference on Data Fairness

Alexander Asemota, Joseph H. Rudoler, Giles Hooker

As algorithmic decision making has become increasingly ubiquitous even in high-stakes settings, significant effort has been invested in defining, detecting, and eliminating unfair…