A fairness strategy consisting of removing the protected variable from the model, universally judged the least effective as it does not prevent its reconstitution.
Fairness through unawareness consists of simply removing the protected variable from the model's data. The technical literature holds it the weakest fairness approach, since it does not prevent the variable's reconstitution through correlates and destroys the ability to measure the residual effect. It illustrates a broader result, there is no fair pricing in itself, only competing fairness criteria, mathematically incompatible as soon as groups differ, whose choice is political rather than technical.
Independence of price from the protected attribute, equality of error rates and strict actuarial fairness cannot be satisfied at once as soon as loss experience differs.
fairness through unawareness