Principal Fairness for Human and Algorithmic Decision-Making. (arXiv:2005.10400v5 [cs.CY] UPDATED)

Using the concept of principal stratification from the causal inference
literature, we introduce a new notion of fairness, called principal fairness,
for human and algorithmic decision-making. The key idea is that one should not
discriminate among individuals who would be similarly affected by the decision.
Unlike the existing statistical definitions of fairness, principal fairness
explicitly accounts for the fact that individuals can be impacted by the
decision. Furthermore, we explain how principal fairness differs from the
existing causality-based fairness criteria. …

arxiv decision fairness human making