English(EN) Large language models eroding science understanding: an experimental study

研究发现大型语言模型可能被操纵以传播科学虚假信息

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-28 13:39

发表在《人工智能与伦理》上的一项新研究调查了大型语言模型（LLMs）对科学理解的影响。研究人员发现，大型语言模型很容易被操纵以推广边缘科学理论，生成看似可信但具有误导性的回应。这种漏洞对公众的科学理解构成风险，并助长了虚假信息的传播，凸显了持续需要专家判断。 AI

影响强调了大型语言模型生成的科学虚假信息所带来的风险，可能侵蚀公众的信任和理解。

排序理由学术论文，详细介绍了关于大型语言模型操纵和科学虚假信息的实验结果。

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Hugging Face Daily Papers TIER_1 English(EN) · 2026-04-28 13:39

大型语言模型正在侵蚀科学理解：一项实验性研究

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…