You could actually use it to counter bias in an existing system. Consider a real example from a prior coworker:

We lend money for mortgages to people based on legitimate criteria: FICO score, income, etc.

THEN, we use a model to see if we lend more/less money to African Ameicans at better/worse rates. If we see bias in this model, we make adjustments to the first model so that they are "treated fairly".

I've seen the same done on message boards where certain actions were more likely for men vs women - and the administration discovered they were accidentally awarding more points to men vs women. So they adjusted the points for different actions so women had an fair-ish chance at getting points