AI RESEARCH
InsideOut: Measuring and Mitigating Insider-Outsider Bias in Interview Script Generation
arXiv CS.AI
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ArXi:2509.21080v2 Announce Type: replace-cross Advancements in Large language models (LLMs) have enabled a variety of downstream applications like story and interview script generation. However, recent research raised concerns about culture-related fairness issues in LLM-generated content. In this work, we identify and systematically investigate LLMs' insider-outsider bias, a phenomenon where models position themselves as "insiders" of mainstream cultures during generation while externalizing less dominant cultures.