Earlier quoted context omitted.
Glad you posted. A lot of AI code simply cannot be trusted. In particularly, it's pretty obvious that the teams using it either don't do a lot of QA or don't understand how to test their systems in the first place. I find it mind-boggling that this technology is so widely used with such limited understanding. The interesting question is how the hell do we fix this?
One example doesn't support your claim that QA was not sufficient. You will always get misclassifications, most won't be offensive to anyone. This is not a medical device or a self driving car, this is Facebook trying to squeeze more engagement..
The comments about enlarging training sets illustrate the blinders that many technical people have about this technology. There does not seem to be a notion of independent quality assurance to detect what should by now be obvious problems.
[1] https://www.bostonmagazine.com/news/2018/02/23/artificial-in...
Edit: oops, left out source