Make sure that off-the-shelf AI model is legit – it could be a poisoned dependency
Because AI models require technical expertise and computational resources to train, those developing AI applications often look to third parties for pre-trained models. And models – like any software from an untrusted source – could be malicious, Huynh and Hardouin observe.
"The potential societal repercussions are substantial, as the poisoning of models can result in the wide dissemination of fake news," they argue."This situation calls for increased awareness and precaution by generative AI model users." There is already wide dissemination of fake news, and the currently available mitigations leave a lot to be desired. As a January 2022 academictitled"Fake news on Social Media: the Impact on Society" puts it:"[D]espite the large investment in innovative tools for identifying, distinguishing, and reducing factual discrepancies , the challenges concerning the spread of [fake news] remain unresolved, as society continues to engage with, debate, and promote such content.
But imagine more such stuff, spread by LLMs of uncertain origin in various applications. Imagine that the LLMs fueling the proliferation of
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