self-reinforcing-bias
Experiments on ML systems creating self-reinforcing bias
Phase 1: Logistic Regression
This phase will be the easiest, and will most-obviously work. More sophisticated ML will come later.
The idea is to show that training a model without explicitly recording or looking for negative training examples will produce bias in a wide variety of situations.
