Making Decisions that Reduce Discriminatory Impacts

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On the Fairness of Causal Algorithmic Recourse (2020, background): “ndividual level). This is akin to mechanism design in game theory: what societal intervention (e.g., supporting one of the subgroups) would enable more fair recourse, along the lines of Kusner et al. [33] but for recourse. As an example of such societal interventions that attempt to lessen the cost ”
Counterfactual risk assessments, evaluation, and fairness (2019, background): “The technical challenge is that the assumptions required to estimate these counterfactual metrics prohibit the use of important features, such as prior history, or require full specification of the structural causal model (SCM) [30, 31, 56] These requirements are too restrictive for our settings of ”