Paper Status Tracking

Journals by Title

Journals by Subject

Contact us

	[email protected]
	3275638434

	Paper Publishing WeChat

Useful Links

Creative Commons Attribution-NonCommercial 4.0 International License

Article

Open Access

Interpreting Teaching in AI Era: Opportunities and Challenges

Author(s)

YANG Jiaming

Full-Text PDF Download XML 221 Views

DOI:10.17265/1539-8072/2025.05.002

Affiliation(s)

University of Shanghai for Science and Technology, Shanghai, China

ABSTRACT

The rapid advancement of artificial intelligence (AI) technologies has fundamentally transformed various sectors of society, with education being no exception. This paper examines interpreting education in the AI era, analyzing both the unprecedented opportunities and formidable challenges that educators and institutions face. Through a review of recent literature and theoretical analysis, this study explores how AI technologies are reshaping interpreter training methodologies, assessment practices, and professional competencies. The paper argues that while AI presents remarkable opportunities for enhanced learning experiences and personalized education, it simultaneously poses significant challenges related to pedagogical adaptation, ethical considerations, and the preservation of human-centric skills essential to professional interpreting. It suggests that successful integration of AI in interpreting education requires a balanced approach that leverages technological advantages while maintaining the irreplaceable value of human expertise and cultural sensitivity.

KEYWORDS

artificial intelligence (AI), interpreting teaching, opportunities and challenges

Cite this paper

YANG Jiaming, Interpreting Teaching in AI Era: Opportunities and Challenges. Sino-US English Teaching, May 2025, Vol. 22, No. 5, 158-162

doi:10.17265/1539-8072/2025.05.002

References

Fantinuoli, C. (2023). Towards AI-enhanced computer-assisted interpreting. In Interpreting technologies—Current and future trends (pp. 46-71). Amsterdam and Philadelphia: John Benjamins Publishing Company.

Green, B. P. (2020, August 18). Artificial intelligence and ethics: Sixteen challenges and opportunities. Retrieved June, 18, 2025, from https://www.scu.edu/ethics/all-about-ethics/artificial-intelligence-and-ethics-sixteen-challenges-and-opportunities/

Horváth, I. (2022). AI in interpreting: Ethical considerations. Across Languages and Cultures, 23(1), 1-13.

Sun, L. (2025). Transforming business interpretation education with AI: Perspectives from instructors and learners. Education and Information Technologies, 30, 11827-11861.

Son, J. B., & Jin, T. (2024). How to exploit China’s AI-powered platforms for Korean-Chinese translation/interpreting education. INContext: Studies in Translation and Interculturalism, 4(1), 31-52.

Sywelem, M. M. G., & Mahklouf, A. M. E. S. (2024, June). Ethical considerations in the integration of artificial intelligence in education: An overview. In CS & IT Conference Proceedings (Vol. 14, No. 12, pp. 1-15). Retrieved from https://aircconline.com/csit/papers/vol14/csit141201.pdf