Garbage in, garbage out. The system failed because they were trying to solve the wrong problem, or maybe more specifically, didn't solve the problem that led t

Garbage in, garbage out. The system failed because they were trying to solve the wrong problem, or maybe more specifically, didn't solve the problem that led to the problems with the AI. Amazon was treating the hiring problem as an efficiency problem alone, and ignoring the bias problem. So they wound up training the AI to do a shitty job much faster than humans ever could be shitty - and, by analyzing the data in a way the human results weren't analyzed, showed the failings of the human hiring process. Existing process is sexist. Automate to "improve" it, and you wind up with something even more sexist. What this means is that Amazon needs to go back and revamp their whole hiring process to make it fair, before trying to make it faster.