Also which teams at apple made the algorithm? Since you claim to know they were all 'white'.
In reality, I'm sure everyone working on this team was well aware of these potentials for training set bias before most of us even knew what ML was.
Even if this was considered it'd be pretty risque to have an employee dedicate time specifically to differentiating black ppl from apes in the algorithm.
And to your second point about how would we know if the team was “all white,” of course we don’t know that and it’s probably not true. What we do know is that tech in the us is disproportionately whiter than the general public, and ~10 person teams with no black people on them are the norm, not the exception.
Edit: I should say that 10 person teams without black people on them are the norm in FAANG companies and others headquartered in the Bay Area. Other tech hubs in the US are much more diverse.
For all you know the entire team that worked on this project could've been black. Or zero of them could've been white etc.
We can and should have a conversation about training sets and ML ethics. Resorting to unprovoked racist attacks is quite a counterproductive approach imo.
Yes, humans are primates. But this wasn't a discussion about taxonomy in biology class. There are lots of cases where primates is used in everyday language where it is clearly intended to refer solely to monkeys and apes. When I go to the "primate house" at the zoo I'm not going to expect to see naked humans behind the glass.
This algorithm is clearly broken, it doesn’t label all people as primates, it labels Black people wearing a green T-shirt possibly as such, I mean I’m sorry but that algorithm is definitely broken. The person in question should not be labeled as primate by any means not should any other humans unless the context is specifically some form of species taxonomy.
Also your reaction seems to be all daisies and roses, and I don’t blame you for your social context ignorance you displat, I guess you are just an engineer after all..