  In this work, we argue for the importance of causal reasoning in creating
fair algorithms for decision making. We give a review of existing approaches to
fairness, describe work in causality necessary for the understanding of causal
approaches, argue why causality is necessary for any approach that wishes to be
fair, and give a detailed analysis of the many recent approaches to
causality-based fairness.

Artificial Intelligence;Computers and Society