China mandates Chinese AI terminology to cement linguistic sovereignty and reshape global tech discourse
Original framing: “Why is Chinese state media telling people to stop using English AI terms?” — South China Morning Post
From a scientific standpoint, the substitution of established English terms (e.g., ‘large language model’) with newly coined Chinese equivalents can impede cross‑border reproducibility, citation tracking, and meta‑analysis, potentially slowing collective progress. Empirical studies on terminology standardisation in software engineering show that abrupt lexical shifts increase cognitive load and error rates among practitioners. However, rigorous bilingual glossaries and open‑source translation layers can mitigate these drawbacks if implemented systematically.
The Chinese push to replace English AI terms is a strategic act of linguistic sovereignty that echoes historic language reforms and aligns with broader geopolitical competition in the AI arena.
While it aims to consolidate domestic discourse power, the policy risks marginalising minority languages, fracturing global research collaboration, and overlooking the rich artistic and philosophical vocabularies that could humanise AI systems. By instituting bilingual glossaries, inclusive co‑design councils, and an international multilingual standards body, China and the global community can reconcile cultural autonomy with the need for interoperable, ethically robust AI development. Integrating indigenous and artistic perspectives not only enriches technical design but also safeguards against the paradoxical isolation that the trickster reading reveals, turning a potential barrier into a bridge for shared innovation.