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.

这项研究通过从 GLOBE 项目获取的价值问题激发 ChatGPT（OpenAI）和 Bard（Google）来探讨了大型语言模型的文化自我认知，结果显示它们与英语国家和经济竞争力强的国家的价值观最为相似。认识到大型语言模型的文化偏见并理解它们的工作方式对社会中的所有人都非常重要，因为我们不希望人工智能的黑盒子延续偏见，使人类在无意中创造和训练更加带有偏见的算法。