If the software is told of the existence of race via an attribute in its ML training, then it will see race in additional data. Otherwise, it won't, IMHO.

Also, due to omission of many other variables (such as culture), those variables are being conflated with race. I personally think a lot of what is commonly accused of being racism, sexism etc. is really just "culturalism" or "preferentialism"... let me think of an example... Given two bars, one filled with rap music and the other filled with techno music, and I pick the techno one every time... am I racist (assuming the predominant race in these 2 bars differs)? Or just preferentialist, culturalist or (frankly) "techno-ist" (if that were a thing)?

Because I think it's much harder to get angry about preferences than it is to get angry about racism, I think that given a choice, we need to consider the less-triggery inputs to a perceived problem