Bias is not a word that was invented by statisticians[1], it's a word that statisticians adopted. It's just as legitimate to say that when a machine learning technique is trained with biased input that it produces biased output as it is to say that some particular machine learning method produces biased output from unbiased input. Either way, it's perfectly fine to say that the use of that technique results in bias even if that bias is in an aspect of the output that the algorithm wasn't selected to optimize.
It seems that what you're arguing is that the algorithm shouldn't be blamed in these cases, but in addition, you're declaring that there's no such thing as prejudice or bias, and implying that what the algorithms are doing is pulling some (uncomfortable for gatekeepers) platonic truth out of the ether (without any acknowledgement of the possibility of biased input.) Or more simply, you're using this article as an excuse to push a favorite "race realist" agenda which you use to justify a purist libertarianism (and which I agree it requires.)