Prof. Wang Binhua on Why AI Can Not Replace Human Interpreters
24-07-2026
According to Prof. Wang Binhua, Large Language Models still face the challenge of the ‘black box’, meaning that the mechanisms through which they produce particular translations remain difficult to explain.
Unlike professional interpreters, who work within established professional ethical standards and are accountable, AI systems generate translations by identifying patterns in large volumes of language data and do not possess an intrinsic ethical framework. In translation tasks that require careful attention to cultural meaning and contextual understanding, human interpreters remain indispensable in making informed judgements about interpersonal relationships, rhetorical choices, and cultural expression.
AI翻譯較難掌握語境及文化修辭 仍難取代專業人類傳譯
王斌華教授近日發表於《自然》旗下《人文與社會科學通訊》期刊的合作研究顯示，AI的大型語言模型仍存在「黑盒」（black-box）問題，其運作機制及如何形成特定翻譯結果至今仍難以完全解釋。
與受專業倫理規範的人類譯員不同，AI主要依賴大量數據中的語言模式生成譯文，本身並沒有內在的邏輯和倫理框架。因此，在涉及文化內涵及需要仔細掌握語境的翻譯工作下，人類譯員在人際關係、語氣及文化修辭等方面作出更切合語境的判斷，反映其專業判斷仍然不可或缺。
