this post was submitted on 03 Mar 2025
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Judges Are Fed up With Lawyers Using AI That Hallucinate Court Cases (www.404media.co)
submitted 1 day ago by some_guy@lemmy.sdf.org to c/technology@lemmy.world
127 comments fedilink hide all child comments
 

But the explanation and Ramirez’s promise to educate himself on the use of AI wasn’t enough, and the judge chided him for not doing his research before filing. “It is abundantly clear that Mr. Ramirez did not make the requisite reasonable inquiry into the law. Had he expended even minimal effort to do so, he would have discovered that the AI-generated cases do not exist. That the AI-generated excerpts appeared valid to Mr. Ramirez does not relieve him of his duty to conduct a reasonable inquiry,” Judge Dinsmore continued, before recommending that Ramirez be sanctioned for $15,000.

Falling victim to this a year or more after the first guy made headlines for the same is just stupidity.

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[–] SmoothOperator@lemmy.world 18 points 1 day ago (1 children)

It's actually often easier to check an answer than coming up with an answer. Finding the square root of 66564 by hand isn't easy, but checking if the answer is 257 is simple enough.

So, in principle, if the AI is better at guessing an answer than we are, it might still be useful. But it depends on the cost of guessing and the cost of checking.

[–] ameancow@lemmy.world 1 points 19 hours ago* (last edited 19 hours ago) (1 children)

Now if only an AI could actually find the square root of anything. They can't do math, at least the models I've tried. I am aware that if they could do math, it would be a big deal, but really if it can't analyze the actual content in my work files then it's useless to me. It's good at finding mathematical answers by putting in what you expect to get from 120 X 15.5, but doesn't actually know the difference between 1860 and a picture of Judy Hopps in lingerie, and would be equally satisfied giving you one as the other.

[–] SmoothOperator@lemmy.world 1 points 8 hours ago

Well, if by AI you mean large language models, they tend to do better at language tasks than math tasks. So a better example might be that it's easier to get an LLM to write a statement for you and checking if it's correct than writing the statement from the bottom.

The square root was just a clearer example. In the case of OP, it might very well be easier to have an LLM propose relevant case law and then check if that case law exists and is relevant, rather than having to find it yourself from square one.