Why has only sense to show the Separation criteria in the ROC plot?

I am dealing with the issue of fairness in machine learning models. One of the group fairness criteria is separation. I have read that it only makes sense to show the separation criterion using ROC curves, but I don't understand why. Could someone explain it to me? Thank you very much.