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English(EN) Do Androids Dream of Unseen Puppeteers? Probing for a Conspiracy Tendencies in Large Language Models

研究发现:大型语言模型(LLMs)表现出阴谋论倾向和人口统计学偏见

一项新的研究论文探讨了大型语言模型(LLMs)是否表现出阴谋论信仰和社群人口统计学偏见的倾向。研究发现,LLMs在一定程度上认同阴谋论元素,并且用人口统计学属性进行条件化会揭示潜在的偏见。此外,研究表明LLMs容易受到操纵,因为有针对性的提示可以轻易地将其回应引向阴谋论观点,这凸显了在敏感应用中的潜在风险。 AI

影响 强调了LLM操纵的潜在风险以及对LLM心理维度进行批判性评估的必要性。

排序理由 在arXiv上发表的研究论文,详细介绍了关于LLM行为的发现。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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研究发现:大型语言模型(LLMs)表现出阴谋论倾向和人口统计学偏见

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在arXiv上发表的研究论文,详细介绍了关于LLM行为的发现。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Francesco Corso, Francesco Pierri, Gianmarco De Francisci Morales ·

    Android 会梦见看不见的傀儡师吗?探究大型语言模型中的阴谋论倾向

    arXiv:2511.03699v2 Announce Type: replace Abstract: We investigate whether Large Language Models (LLMs) exhibit conspiratorial tendencies, whether they display socio-demographic biases in this domain, and how easily they can be conditioned into adopting conspiratorial perspective…