Embracing AI Era: Challenges and Strategies in Translation and Interpreting Teaching in Universities

Abstract

Against the backdrop of rapid development in artificial intelligence technology, the translation and interpreting industry is undergoing profound transformation. Large language models represented by ChatGPT have quickly entered public attention, promoting the development of translation technology and triggering widespread discussion on the future of the translation profession. Faced with both external skepticism and internal transformation, translation and interpreting teaching in universities faces challenges while also welcoming opportunities for transformation. This paper, starting from the developmental background of the translation discipline, combines an analysis of the current status of the translation and interpreting industry and the development trend of AI technology to reflect on the main problems in current university translation and interpreting teaching. It also proposes several pathways based on front-line teaching practice, aiming to provide reference for cultivating translation talents with core competitiveness in the AI era.