Promises and Challenges of Causality for Ethical Machine Learning. (arXiv:2201.10683v1 [cs.LG])

In recent years, there has been increasing interest in causal reasoning for
designing fair decision-making systems due to its compatibility with legal
frameworks, interpretability for human stakeholders, and robustness to spurious
correlations inherent in observational data, among other factors. The recent
attention to causal fairness, however, has been accompanied with great
skepticism due to practical and epistemological challenges with applying
current causal fairness approaches in the literature. Motivated by the
long-standing empirical work on causality in econometrics, social sciences, and …

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