counterfactual fairness

Counterfactual fairness is, for example, a type of individual fairness in which a decision or prediction is considered fair if it would remain the same in the real world and a hypothetical counterfactual world where the individual’s sensitive attribute (such as race or gender) had been different but all other relevant factors remained the same (Kusner et al., 2017).

Algorithmic Bias