I'm no ML expert, but my understanding is that the bias is usually in the training data, not the model. The idea here is that you can generate bias-free "garbag

I'm no ML expert, but my understanding is that the bias is usually in the training data, not the model. The idea here is that you can generate bias-free "garbage" and therefore reduce the bias of the trained model