Data and models should reflect the reality in which the model is applied, not our idealized vision of what that reality should be.
If someone doesn't like what it sees in a model trained with data that accurately reflects reality, the solution is to work towards change in reality. Not to introduce bias in the model and the data to "correct" it.
@ggus1991