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submitted 7 months ago* (last edited 7 months ago) by mozz@mbin.grits.dev to c/technology@lemmy.world
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[-] coffeeauntie@feddit.de 2 points 7 months ago

Loads of good points in that video, thanks for posting. The only argument I don't really agree with is about bias. She's implying here that a human decision maker would be less biased than the AI model. I'm not convinced by that because the training data is just a statistical record of human bias. So as long as the training data is well selected for your problem, it should be a good predictior for the likelihood of bias in your human decision maker.

[-] Serinus@lemmy.world 2 points 7 months ago

the training data is just a statistical record of human bias.

It's not. It's a record of online conversations, which tend to be more polarized and extreme than real people.

[-] coffeeauntie@feddit.de 1 points 7 months ago

That's why I said

So as long as the training data is well selected for your problem...

It's clear that in the training data for LLMs, 4chan, reddit, etc. are over-represented, so that explains why chatgpt might be more awful than an average person. Having an LLM decide on, e.g., college admission would be like having a Twitter poll to decide on who should be its next CEO. Like that's obviously stupid, nobody would ever do that, right?

The problem is that for the college admission example, the models were trained on previous admissions, taken by college employees , and these models are still biased.

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this post was submitted on 29 Jan 2024
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