Or, maybe, knowing that releasing software that turns out to deliver markedly lower quality results for people already weary from centuries of marginalization would open them up to such accusations, they didn't get lucky so much as their are enjoying the benefit of having listened to such criticism, testing their software across a set of data as diverse as their customers, instead of just that set of photos from D'Brickshaw Ferguson's and Abigail Cumberbatch's wedding.

They still caught a break.

Here people are like “lol Apple” and understand it’s the fault of the software and there isn’t incipient malice intended. Whereas on the other hand people are apt to make it into something it isn’t.

Yes I'm more likely to let Apple off for not training enough "people with a leafy backdrop" than "people with different colored skin" into their ML.

Zoom showed lots of glitches for all kinds of people -when using "backgrounds", but "Twitter people" latched on to certain outcomes --and Zoom is heavily developed overseas.