AI推荐常偏向西方个人主义，忽视全球多元价值观。
When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language Models
- 用跨文化案例测试三大AI对10国用户的价值倾向
- 多数AI给出的建议比当地实际价值观更偏个人主义，差距达0.76分（1-5分制）
- 日本例外：AI反而高估集体主义，适合关注AI伦理与文化适配的研究者
当用户向AI咨询职业、婚姻或家庭矛盾时，其建议是否受国籍影响？我们系统性测试了三个主流AI系统（Claude Sonnet 4.5、GPT-5.4、Gemini 2.5 Flash），针对来自五大洲10个国家、7种语言的840份真实个人困境提问。将AI建议与世界价值观调查第七波数据对比发现，所有模型均持续输出西方式个体主义建议，即使面对重视家庭、社区与权威的社会，显著偏离本地真实价值观（平均差距+0.76分，t=15.65，p<0.001）。差距最大的是尼日利亚（+1.85）和印度（+0.82）。日本是唯一例外：AI反而将日本人视为比调查更集体主义，反映过时刻板印象。三模型偏差幅度接近，但机制不同：Claude在用户母语中更倾向集体主义；Gemini更趋个体主义；GPT-5.4仅响应用户声明的国家身份。结果揭示前沿AI存在系统性价值同质化。数据、代码与评分流程已公开。
原文摘要 · Abstract (English)
When you ask an AI assistant for advice about your career, your marriage, or a conflict with your family, does it give you the same answer regardless of where you are from? We tested this systematically by presenting three leading AI systems (Claude Sonnet 4.5, GPT-5.4, and Gemini 2.5 Flash) with ten real-life personal dilemmas, framed for users from 10 countries across 5 continents in 7 languages (n=840 scored responses). We compared AI advice against World Values Survey Wave 7 data measuring what people in each country actually believe. All three AI systems consistently gave Western-style, individualist advice even to users from societies that prioritize family, community, and authority, significantly more so than local values would predict (mean gap +0.76 on a 1-5 scale; t=15.65, p<0.001). The gap is largest for Nigeria (+1.85) and India (+0.82). Japan is the sole exception: AI systems treated Japanese users as more group-oriented than surveys show, revealing that AI encodes outdated stereotypes. Claude and GPT-5.4 show nearly identical bias magnitude, while Gemini is lower but still significant. The models diverge in mechanism: Claude shifts further collectivist in the user's native language; Gemini shifts more individualist; GPT-5.4 responds only to stated country identity. These findings point to a systemic homogenization of values across frontier AI. Data, code, and scoring pipeline are openly released.
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