[sdenton4]

The black box nature of the regression can make things difficult, though. If you have a couple other parameters which indicate 'black male' with high probability, you might find layer one reconstructing the notion of gender and layer two making decisions based on it.

[moultano]

Much better to include the feature in the training, and exclude it from the inference. That actually cancels out the effect, rather than just incentivizing the model to reconstruct it.