[TazeTSchnitzel]

ML algorithms per se are in theory neutral on this subject, sure, but a trained model acquires and can amplify the biases of its source data-set.

You say “ideological”, but it is also sound science. Machine learning models of this kind are based on observational data and thus find correlations without knowing anything about causation, and so you need to put in a lot of effort to find and avoid problematic correlations. Of course, then the magic disappears, because an ML algorithm can't actually tell you if someone is a criminal.