If unconstrained learning emits biased result it was given biased samples. That or the bias is in the dataset itself, which could still be fixed by removing and

If unconstrained learning emits biased result it was given biased samples. That or the bias is in the dataset itself, which could still be fixed by removing and randomizing traits but at which point your alghorithm is learning a representation if reality which usefulness depend on the realm if application, say, great for university admittance and not so great for medical insurance purposes.