content: It's more about political correctness than algorithms. Recently there was a flurry of articles released on a number of tech/science oriented sites near simultaneously, almost certainly in journalistic collusion, about what could be phrased 'racist algorithms.' They used the term bias to generalize the issue and probably in part to avoid sounding ridiculous. Nonetheless they were met with universal ridicule even on these sites, which have a far left tilt on average, simply because of how broken their underlying logic was. One regularly maligned example is something that's used by the criminal justice systems in the US. It works to determine how likely a person is to reoffend based on a large amount of data, including race. This system tend to rate 'greens' as much more likely to reoffend than 'blues' simply because greens have a constantly affirmed vastly higher rate of recidivism. Some people then want to claim that this is racist against greens. It's akin to saying that stating men are vastly more likely to be murderers than women is sexist. Data may be unpleasant, but that unpleasantness doesn't suddenly make it invalid. By regulating algorithms, I think what they actually want to do is to simply prohibit certain information from being considered by algorithms. This would probably be your typical 'protected class' category of items - race, nationality, gender, religion, etc. There's no justifiable reason for this since some of these data do tend to be strongly predictive of behavior, but that predictive power undermines political correctness.