[firefoxd]

This happens because there are no black people of consequence in the ML pipeline. In my previous company Everytime we built a new model, a bunch of us would test it. Being the only black person in the company, I often found some very odd things and we would correct it before shipping.

I understand that fb is a much bigger scale, but all the reason to have a much more diverse set of eyes to test their models before they go live.

If you want to avoid this, hire more black people, seriously.

[dshpala]

"Hire more black people" - isn't that what FAANG desperately been trying to do for some time now?

I guess first step might be to "hire more black QA people".

[SamReidHughes]

They already get hired, when they meet the hiring bar.

[joebob42]

It's not obvious to me what black people would have done to fix this specific problem. Would they have said "oh we should make sure to test the algorithm on blurry images of people in a forest and make sure it doesn't get confused"?

[firefoxd]

"I uploaded my picture and it says I'm a monkey"

"Oh, maybe we should look into that"

[npteljes]

What I don't get is that people seriously think that FB/Google don't test with images of black people? Especially after one of such mislabeling scandal happened already? Very highly doubtful.