Hacker News new | ask | show | jobs
by xyzzyz 3073 days ago
This approach doesn’t work. If sensitive features are actually predictive (and they very often are), the model will just learn to predict these features based on the non-sensitive ones. For example, if you know that someone is 30 years old, lives in Bay Area, and earns less then 30k/year, if you bet that this person is neither white nor Asian, you are more likely to win this bet.
1 comments

I don't like this example-they could be a graduate student
Of course. They could be many other things as well. The question is, what would you bet on, if you didn't want to lose money?