Culture fundamentally shapes people's reasoning, behavior, and communication.
Generative artificial intelligence (AI) technologies may cause a shift towards
a dominant culture. As people increasingly use AI to expedite and even automate
various professional and personal tasks, cultural values embedded in AI models
may bias authentic expression. We audit large language models for cultural
bias, comparing their responses to nationally representative survey data, and
evaluate country-specific prompting as a mitigation strategy. We find that
GPT-4, 3.5 and 3 exhibit cultural values resembling English-speaking and
Protestant European countries. Our mitigation strategy reduces cultural bias in
recent models but not for all countries/territories. To avoid cultural bias in
generative AI, especially in high-stakes contexts, we suggest using culture
matching and ongoing cultural audits.

文化在人们的推理、行为和交流中起着根本性的作用。生成性人工智能（AI）技术可能导致文化的转变。我们对大型语言模型进行文化偏差审核，将它们的回应与全国代表性调查数据进行比较，并评估特定国家的提示作为缓解策略。我们发现，GPT-4、3.5 和 3 展现出类似英语和新教欧洲国家的文化价值观。我们的缓解策略减少了近期模型中的文化偏差，但并不适用于所有国家 / 地区。为了避免在生成性人工智能中存在文化偏见，尤其是在高风险环境中，我们建议使用文化匹配和持续进行文化审核。