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Nature: Al generates covertly racist decisions about people based on their dialect (www.nature.com)
submitted 2 months ago by antifuchs@awful.systems to c/techtakes@awful.systems
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Got the pointer to this from Allison Parrish who says it better than I could:

it's a very compelling paper, with a super clever methodology, and (i'm paraphrasing/extrapolating) shows that "alignment" strategies like RLHF only work to ensure that it never seems like a white person is saying something overtly racist, rather than addressing the actual prejudice baked into the model.

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[-] L0rdMathias@sh.itjust.works 3 points 2 months ago

Interesting results, interesting insights, neat takeaways and argumentation.

It's unfortunate they only tested models that were trained on SAE and they didn't have a control group of language models in other dialects. Seems like a huge oversight.

I wonder how this would play out with a model that has been trained on AAE, another non-SAE dialect, or even one trained in English but optimized for a non-english language.

this post was submitted on 30 Aug 2024
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