this post was submitted on 23 Sep 2024
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The real problem are implicit biases. Like the kind of discrimination that a reasonable user of a system can't even see. How are you supposed to know, that applicants from "bad" neighborhoods are rejected at a higher rate, if the system is presented to you as objective? And since AI models don't really explain how they got to a solution, you can't even audit them.
I have a feeling that's the point with a lot of their use cases, like RealPage.
It's not a criminal act when an AI did it! (Except it is and should be.)
"It's not redlining when an algorithm does it!"