LLMs vulnerable to propaganda via training data infiltration

Large Language Models (LLMs) are susceptible to propaganda, with the potential for training data to be infiltrated to influence responses. This infiltration can lead to biased outputs, such as those influenced by Israel, which are difficult for users to detect. The manipulation of AI training data raises concerns about the spread of misinformation and its impact on public perception, particularly in geopolitical contexts like the Gaza conflict. AI

IMPACT Highlights the risk of AI models being manipulated to spread propaganda, impacting user trust and information integrity.

RANK_REASON The item discusses potential vulnerabilities and ethical concerns related to LLMs, fitting the commentary bucket.

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• Israel
• large-language models

• safety
• policy

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