China Encourages Use of Native AI Terminology to Strengthen Academic Influence
China's academic and technology sectors are seeing a push toward using indigenous Chinese terminology for artificial intelligence concepts instead of directly adopting English terms. This initiative aims to strengthen China's influence over global AI discourse and positioning in international academic conversations.
The effort reflects broader concerns about linguistic and conceptual dependency on Western academic frameworks, particularly in technical fields that are increasingly central to national competitiveness and security. By establishing native-language terminology, Chinese institutions seek to contribute more substantially to foundational AI research and ensure that Chinese perspectives are more prominently reflected in global discussions.
The initiative comes at a time when AI research output from Chinese institutions has grown significantly in volume. Advocates of the terminology shift argue that clear, native-language definitions can aid domestic education and make technical concepts more accessible to broader segments of the Chinese population. Critics, however, note that the global scientific community has long relied on English as a shared technical language, and that parallel terminology systems could create friction in international collaboration.
The policy represents a strategic approach to scientific soft power, recognizing that control over foundational terminology can shape how ideas are framed, taught, and propagated internationally.