Decomposing Causality and Fairness

Peter Hill, Francois Buet-Golfouse

Keywords: Causality, Fairness

Abstract: It is often informative to decompose key quantities of interest into smaller components, in order to develop a better understanding of the key quantity. In this paper, we focus causality and fairness, where bias attribution can be particularly useful. We show how quantities can be broken down based on independence, or conditional independence criteria, and show how such a decomposition can be used as a diagnosis tool.