Bias and ethical issues in machine-learning models

In this case it might well be genuine bias: the proportion of women in the output was not equivalent to the proportion in the general population. i.e. actual mathematical bias. (One wonders if you'd call it 'political bullshit' if it came out with a large bias in the opposite direction...)