Is this the case? Do we even know for a fact that only non-white people were mislabeled as anything else?
Or are we just, you know, throwing out baseless speculation as fact?
Like that they don't appreciate the gravity of the problem, for example.
What would be racist from this outcome is if it kept doing this and no one did anything. Clearly it hurts people's feelings and that is a very valid issue. Googles option to just nuke it is a great start until they can hammer out the kinks.
Racism can also be measured by its effect, regardless of intent.
What would be racist from this outcome is if it kept doing this and no one did anything.
After 8 years, that's seems to be precisely what's happening.
Given the recent history of equating black people with non-human primates, and using that to deny them rights & full participation in society, making this error is going to be experienced as racist. It's not a matter of individual malice or taxonomic classification, but of history and social relations.
But it seems like if nobody is working on this, how will we ever fix this gaping hole in image classifiers? And don't we want to fix it? And to fix it, research will continue to get it wrong until they get it less wrong and more right, but can only iterate without a massive backlash. It seems like being stuck between a rock and a hard place.
I am rhetorically asking, wouldn't we have to allow researchers to iterate on this problem to fix it? That simply won't happen until we are able to allow them leeway understanding that this is an incrementally improving model. Otherwise what we have is just a sledgehammer solution (just banning all primate classifications) which actually never addressed the problem, that these models do have a race-based bias (probably in their input datasets.)
The thing you're calling racism is actually hate speech as it's typically defined in law.