{
  "id": 18078,
  "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1869972",
  "title": "Faithful or evasive? An empirical study on translation norm preferences of Chinese and American LLMs in Chinese official political and policy discourse",
  "summary": "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",
  "authors": "Xinyu Zhu",
  "category": "research",
  "topics": "regulation,safety-alignment",
  "orgs": null,
  "regions": "us,china",
  "published_at": "2026-08-10T00:00:00.000Z",
  "fetched_at": "2026-08-11T05:10:37.351Z",
  "source_slug": "x-frontiers-in-artificial-intelligence",
  "source_name": "Frontiers in Artificial Intelligence",
  "source_homepage": "https://www.frontiersin.org/journals/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/18078",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1869972",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}