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The DOJ is using fake "AI" case citations to justify ICE detainment (europe.pub)
submitted 3 months ago* (last edited 3 months ago) by to c/fuck_ai@lemmy.world
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cross-posted from: https://infosec.pub/post/49593520

Source

https://storage.courtlistener.com/recap/gov.uscourts.miwd.120609/gov.uscourts.miwd.120609.11.0.pdf

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[–] 13 points 3 months ago (6 children)

Asking a chatbot to stop lying is about as useful as asking a river to stop flowing. It won't happen unless you do it yourself.

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  • [–] -1 points 3 months ago (5 children)

    I lay out how I would do it in another comment. I think it would be pretty easy to get something rough draft quality pretty easy. The difficult problem is compliance, you would probably have to use either local or legal work approved LLMs. But I'm saying they actually just used a chat bot instead of an agent that could give you better results. It's pretty easy to get a clanker not to lie, use it as a tool to rearrange text and don't let it be creative.

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  • [–] 6 points 3 months ago* (last edited 3 months ago) (1 child)

    The law is a hundreds of billions of dollar annual industry, just in the US. It was worth 367 billion just in 2022. An AI that flawlessly checks over a legal brief would probally be worth billions/year because that means it could also write them flawlessly. Since its so easy, you should probally whip it up and make your billions.

    Hell, you seem to have a way to solve chatbots persistent error rate that trillion dollar companies can't fix, so you might actually have a trillion dollar answer. Why stop at just law if "its so easy to make a LLM not lie?"

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  • [–] 1 point 3 months ago

    It's a saturated business, there's dozens of companies already doing it. I don't like AI, I think it's destroying a lot of parts of our life. But it's here and it's only going to sink it's claws deeper. Also I'm not describing chat bots.

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  • [–] 5 points 3 months ago* (2 children)

    And I'm saying that lying is inherent to the technology. Generative AI uses probability to generate output. It's constantly rolling dice when determining output. Any data fed into it is used to calculate odds on what words should follow other words.

    It's like making a smoothie and then trying to consume specific vitamins. No matter how good your smoothie making machine is, that's gonna be an impossible task because blending everything together is inherent to making a smoothie. You'd be much better served just eating individual bananas to get your potassium intake.

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  • [–] 1 point 3 months ago* (last edited 3 months ago) (1 child)

    And I agree with you. When you let an AI be creative it will lie. But if they are reading documents they generally don't. That information is now a part of their context and it will reuse that information. It's a good fuzzy search. It is however terrible at a lot of other things.

    Edit: it's like a plagerism machine! Which in this one case is probably good

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  • [–] 1 point 3 months ago

    If you feed a chatbot the sentences, "Bananas are a good source of potassium. Bananas are not a good source of protein." There is a good chance it will spit out the phrase, "Bananas are a good source of protein." because the phrase "good source of protein" is in the original data it was fed. There will always be a significant chance of spitting out this phrase.

    No matter how much you improve the AI, because it uses probabilistic generation, it will always be cobbling together sentences without any regard for what the overall sentence means. An intern will eventually learn case law, an AI agent will never be trustworthy. When you ask an AI agent a question, it will always lie to you about being certain of its answer because its answer is built upon a roll of the dice.

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