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LLMs can be manipulated to spread scientific misinformation, study finds

A new study published in AI and Ethics investigates the impact of large language models (LLMs) on scientific understanding. Researchers found that LLMs can be easily manipulated to promote fringe scientific theories, generating convincing but misleading responses. This vulnerability poses risks to public comprehension of science and facilitates the spread of misinformation, underscoring the continued need for expert judgment. AI

IMPACT Highlights risks of LLM-generated misinformation in scientific contexts, potentially eroding public trust and understanding.

RANK_REASON Academic paper detailing experimental findings on LLM manipulation and scientific misinformation.

Read on Hugging Face Daily Papers →

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LLMs can be manipulated to spread scientific misinformation, study finds

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Academic paper detailing experimental findings on LLM manipulation and scientific misinformation.
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Large language models eroding science understanding: an experimental study

    This paper is under review in AI and Ethics This study examines whether large language models (LLMs) can reliably answer scientific questions and demonstrates how easily they can be influenced by fringe scientific material. The authors modified custom LLMs to prioritise knowledge…