Large language models (LLMs) are able to engage in natural-sounding conversations with humans, showcasing unprecedented capabilities for information retrieval and automated decision support. They have disrupted human-technology interaction and the way businesses operate. However, technologies based on generative artificial intelligence (GenAI) are known to hallucinate, misinform, and display biases introduced by the massive datasets on which they are trained. Existing research indicates that humans may unconsciously internalize these biases, which can persist even after they stop using the programs. This study explores the cultural self-perception of LLMs by prompting ChatGPT (OpenAI) and Bard (Google) with value questions derived from the GLOBE project. The findings reveal that their cultural self-perception is most closely aligned with the values of English-speaking countries and countries characterized by sustained economic competitiveness. Recognizing the cultural biases of LLMs and understanding how they work is crucial for all members of society because one does not want the black box of artificial intelligence to perpetuate bias in humans, who might, in turn, inadvertently create and train even more biased algorithms.

翻译：大语言模型（LLMs）能够与人类进行自然对话，展现出前所未有的信息检索和自动化决策支持能力。它们已颠覆了人机交互方式及企业运营模式。然而，基于生成式人工智能（GenAI）的技术存在幻觉、误导及偏见问题，这些偏见源于其训练所依赖的庞大数据集。现有研究表明，人类可能无意识地内化这些偏见，且这种影响在停止使用相关程序后仍会持续。本研究通过向ChatGPT（OpenAI）和Bard（Google）提出源自GLOBE项目价值观问题，探究了大语言模型的文化自我认知。结果表明，其文化自我认知与英语国家及具有持续经济竞争力国家的价值观最为吻合。社会全体成员认识到大语言模型的文化偏见及其运作机理至关重要，因为人们不希望人工智能黑箱持续强化人类偏见，进而导致人类无意中创造并训练出更加偏执的算法。