Reviews: Equality of Opportunity in Classification: A Causal Approach

I acknowledge having read the rebuttal. Fairness is a complicated and an important matter. Due to the nature of the problem, there might not be a universal characterization of it, but if a criterion is proposed it should be followed by a compelling story and a reasonable explanation for why we should consider this criterion. This paper provides a new (causal) interpretation of equalized odds (EO), an associative measure that has been used as a framework to talk about discrimination in classification problems. The central point of the paper is to learn a fair classifier by constraining each of the three (causal) components of EO (i.e.