Interpreter training has undergone significant changes and adaptations due to the COVID-19 pandemic and technology development. With the development of technology, especially in the post-pandemic era, ‘human-machine coupling’ working mode has become prevalent, and interpreters’ informational and technological competence must be enhanced. However, it is worth to note that the industry is more alert than academia to the advent of new technologies and their changes. Some technologies have been popular for some time, but are rarely mentioned in academic research or applied in teaching.

This project moves from a teacher-centered towards a learner-centered approach, placing string emphasis on the use of AI related tools in interpreter training and practice. It seeks to advance the field of interpreter training through the trial of contemporary technology (e.g. ChatGPT and Smartpen) to offer a new, qualitative analysis of trainee’s interpreting performance. AI tools will be integrated into the interpreting assignments from pre-interpreting to post-interpreting phases, including summarizing event-related background knowledge, terminology management, machine translation, automatic speech recognition, and GPT-based assessments. This study represents one of the initial efforts to leverage AI technologies to enhance training and performance, improve efficiency, and provide students with valuable tools and resources for their work.