分析印度公务员模拟面试中性别偏见，发现男女问题差异显著
Gender Representation and Bias in Indian Civil Service Mock Interviews
- 基于888个视频的5万余道题，对比男女候选人的提问差异
- 大模型在性别推断任务中也表现出明显偏见
- 构建了首个大规模中文面试题数据集，供社会科学研究
本文有三项关键贡献。首先，基于来自888个YouTube视频的51,278道模拟面试题，我们揭示了男性与女性候选人所面对问题类型存在显著性别偏差。其次，通过大语言模型实验，发现其在性别推断任务中的解释同样存在强烈性别偏见。最后，我们构建了一个包含51,278道面试题的新数据集，可为未来社会科学研究提供支持。
原文摘要 · Abstract (English)
This paper makes three key contributions. First, via a substantial corpus of 51,278 interview questions sourced from 888 YouTube videos of mock interviews of Indian civil service candidates, we demonstrate stark gender bias in the broad nature of questions asked to male and female candidates. Second, our experiments with large language models show a strong presence of gender bias in explanations provided by the LLMs on the gender inference task. Finally, we present a novel dataset of 51,278 interview questions that can inform future social science studies.
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