Faithful or evasive? An empirical study on translation norm preferences of Chinese and American LLMs in Chinese official political and policy discourse
IntroductionLarge language models now handle a share of cross-lingual political translation, but no study has directly measured whether they follow stable normative preferences when doing so.MethodsWe target Chinese-to-English translation of Chinese political and policy terms embedded in authentic official discourse. Mapping 52 publications across translation theory, LLM empirics, and AI alignment yields a five-dimensional Translation Norm Orientations (TNO) framework: Faithfulness (FN), Fluency
Record details
Published: 10 August 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Regulation · Safety & alignment
Retrieved: 11 August 2026
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ethics.ai (10 August 2026), “Faithful or evasive? An empirical study on translation norm preferences of Chinese and American LLMs in Chinese official political and policy discourse,” evidence record 18078, https://ethics.ai/record/18078 (originally published by Frontiers in Artificial Intelligence).
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