Similar Stories to It’s Remarkably Easy To Inject New Medical Misinformation Into Llms on Bing News

It's pretty easy to see the problem here: The Internet is brimming with misinformation, and most large language models are trained on a massive body of text obtained from the Internet. Ideally, having substantially higher volumes of accurate information might overwhelm the lies. But is that really the case? A new study by researchers at New York University examines how much medical information can be included in a large language model (LLM) training set before it spits out inaccurate answers.

Topics:  ideally   new york university   llms   comments   internet   a   llm   set   body   study   
BING NEWS:
  • Study on medical data finds AI models can easily spread misinformation, even with minimal false input
    The study, which focused on medical information, demonstrates that when misinformation accounts for as little as 0.001 percent of training data, the resulting LLM becomes altered.
    01/10/2025 - 1:11 am | View Link
  • It’s remarkably easy to inject new medical misinformation into LLMs
    While the paper is focused on the intentional "poisoning" of an LLM during training, it also has implications for the body of misinformation that's already online and part of the training set for ...
    01/8/2025 - 4:58 am | View Link
  • Vaccine misinformation can easily poison AI – but there's a fix
    Adding just a little medical misinformation to an AI model’s training data increases the chances that chatbots will spew harmful false content about vaccines and other topics ...
    01/7/2025 - 11:48 pm | View Link
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