English(EN) Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Bias

研究发现大型语言模型延续男性泛指偏见

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

一篇新研究发表在arXiv上，调查了大型语言模型（LLMs）对男性泛指偏见的延续。研究人员发现，大型语言模型表现出明显的男性泛指偏见，尤其是在使用性别化语言提示时。该研究创建了一个大型名词数据库，并评估了六个大型语言模型，结果显示，对泛指指令的响应中约有27.57%存在偏见，当提示包含男性泛指时，这一比例上升到78.55%。研究还指出，大型语言模型很少自发使用性别公平的语言，这凸显了AI输出中性别偏见的持续挑战。 AI

影响强调了在大型语言模型开发和部署中改进偏见缓解策略的必要性。

排序理由关于大型语言模型偏见的学术论文发表在arXiv上。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Enzo Doyen, Amalia Todirascu · 2026-09-01 04:00

人类制造语言模型？评估LLMs对男性泛称偏见的延续

arXiv:2502.10577v2 Announce Type: replace-cross Abstract: Instruct-based large language models (LLMs) have been shown to propagate and even amplify gender bias when prompted with contextually constrained instructions (e.g., writing a text from a description or selecting a gendere…

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人类制造语言模型？评估LLMs对男性泛称偏见的延续

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