Machine Learning Models That Are Unfair With Sensitive Variables

In terms of fairness, I've seen from AAAI, your talk, how can adversarial machine learning help models be more fair with respect to sensitive variables? Yeah. There's a paper from Amos Storky's lab about how to learn machine learning models that are incapable of using specific variables. Another way in particular could be used for fairness would be to make something like a cycle GAN where you can take data from one domain and convert it into another.