Despite advancements in AI, new research reveals that large language models continue to perpetuate harmful racial biases, particularly against speakers of African American English.
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.
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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!”