A Study on the Path of Integrating Generative AI Technology into the Cultivation of Foreign Language Translation Talents in Higher Education Institutions-Taking Universities in Jilin Province as an Example

Abstract

This study investigates the integration of generative artificial intelligence (GAI) technologies into the cultivation of foreign language translation talents in universities, using universities in Jilin Province as a case study. With the rapid development of AI tools such as ChatGPT, GPT-4, and large language models, higher education faces new opportunities and challenges in enhancing translation education. The research examines current adoption levels, including pilot courses, full-scale integration, and optional AI modules, as well as the readiness of students and faculty to utilize these technologies. Key benefits identified include improved translation accuracy, personalized learning pathways, and the simulation of real-world translation scenarios, while challenges involve technical limitations, curriculum misalignment, and teacher preparedness. The study proposes strategic recommendations for incremental AI adoption, faculty training, curriculum redesign, and the establishment of AI-assisted translation laboratories. In addition, policy and management measures, including institutional support, ethical guidelines, and collaboration with AI companies, are discussed. The findings provide constructive recommendations for universities to leverage generative AI to enhance translation talent development, and suggest directions for future research on long-term impacts, cross-regional comparisons, and evaluation frameworks.