• NevermindNoMind@lemmy.world
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    1 year ago

    For those who haven’t read the article, this is not about hallucinations, this is about how AI can be used maliciously. Researchers used GPT-4 to create a fake data set from a fake human trial, and the result was convincing. Only advanced techniques were able to show that the data was faked, like too many patient ages ending with 7 or 8 than would be likely in a real sample. The article points out that most peer review does not go that deep into the data to try to spot fakes. The issue here is that a malicious researcher could use AI to generate fake data supporting whatever theory they want and theoretically get published in peer reviewed journal.

    I don’t have the expertise to assess how much of a problem this is. If someone was that determined, couldn’t they already fake data by hand? Does this just make it easier to do, or is AI better at it thereby increasing the risk? I don’t know, but it’s an interesting data point as we as a society think about what AI is capable of and how it could be used maliciously.