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Computer Science > Computers and Society

arXiv:2512.13723 (cs)
[Submitted on 13 Dec 2025]

Title:Made-in China, Thinking in America:U.S. Values Persist in Chinese LLMs

Authors:David Haslett, Linus Ta-Lun Huang, Leila Khalatbari, Janet Hui-wen Hsiao, Antoni B. Chan
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Abstract:As large language models increasingly mediate access to information and facilitate decision-making, they are becoming instruments in soft power competitions between global actors such as the United States and China. So far, language models seem to be aligned with the values of Western countries, but evidence for this ethical bias comes mostly from models made by American companies. The current crop of state-of-the-art models includes several made in China, so we conducted the first large-scale investigation of how models made in China and the USA align with people from China and the USA. We elicited responses to the Moral Foundations Questionnaire 2.0 and the World Values Survey from ten Chinese models and ten American models, and we compared their responses to responses from thousands of Chinese and American people. We found that all models respond to both surveys more like American people than like Chinese people. This skew toward American values is only slightly mitigated when prompting the models in Chinese or imposing a Chinese persona on the models. These findings have important implications for a near future in which large language models generate much of the content people consume and shape normative influence in geopolitics.
Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI)
Cite as: arXiv:2512.13723 [cs.CY]
  (or arXiv:2512.13723v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2512.13723
arXiv-issued DOI via DataCite

Submission history

From: Leila Khalatbari [view email]
[v1] Sat, 13 Dec 2025 02:52:57 UTC (956 KB)
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