Decomposing Causality and Fairness
Peter Hill
2023 Virtual oral
in
Affinity Event: Tiny Papers Showcase Day (a DEI initiative)
in
Affinity Event: Tiny Papers Showcase Day (a DEI initiative)
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.
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