China state media urges dropping English AI terms for Chinese equivalents
Translated from English, summarized and contextualized by DistantNews.
At a glance
- China's state media is urging a shift away from English artificial intelligence terms toward standardized Chinese equivalents.
- The Communist Party mouthpiece People's Daily argues that relying on foreign jargon undermines China's
China's state media is pushing for the adoption of standardized Chinese terms for artificial intelligence concepts, moving away from English-language jargon. The Communist Party mouthpiece, People's Daily, published a commentary arguing that continued reliance on foreign terminology, such as "agent" and "LLM" for large language model, leads to "cognitive dependency" and weakens China's influence in global technology governance.
The commentary highlighted China's official designation of "ciyuan" as the standard translation for "token" in March. This move aims to bolster the country's "discourse power" in the rapidly evolving AI landscape. The article contended that using foreign jargon deprives China of the authority to define key technological concepts, potentially hindering the development of original domestic theories and a distinct Chinese framework for discussing technology.
reliance on foreign terminology would lead to โcognitive dependencyโ and ultimately undermine the countryโs voice in global technology governance.
Unlike earlier technologies whose names were localized, such as "dian nao" (electric brain) for computer, English AI terms are often not easily understood by ordinary Chinese citizens. This linguistic barrier, the commentary suggested, further justifies the need for a standardized Chinese vocabulary to ensure broader comprehension and national technological discourse.
English AI terms were rarely self-explanatory to ordinary Chinese people
Originally published by South China Morning Post in English. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.