As a cutting-edge branch in the field of artificial intelligence, generative artificial intelligence (GAI) focuses on learning patterns and rules in data and creating brand-new content based on this. With its characteristics of originality, multimodality, interactivity, and emergence, GAI is profoundly changing the landscape of higher education and gradually becoming an important force in reshaping the ecological pattern of higher education. On the one hand, GAI brings enormous opportunities for the development of higher education: it can expand learning scenarios, transform teaching models, and optimize educational management, thereby promoting educational equity, improving teaching efficiency, and enhancing educational quality. On the other hand, GAI also poses certain risks and challenges to the development of higher education: technological dependence, technological abuse, and technological limitations have, to a certain extent, weakened the subjectivity of teachers and students, easily triggered potential ethical risks, and led to educational biases and discrimination. Based on this, efforts should be focused on promoting technological development, stimulating subjective awareness, and improving supervision mechanisms to contribute to the high-quality development of higher education.

Sen Lian, Xiaohui Chen. Opportunities, Risks and Countermeasures of Generative Artificial Intelligence Applied in Higher Education. International Journal of New Developments in Education (2025), Vol. 7, Issue 10: 56-61. https://doi.org/10.25236/IJNDE.2025.071009.

[1] Peres, N., Schreier, M., Schweidel, D. & Sorescu, A. (2023) On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice. International Journal of Research in Marketing, 40(2), pp. 269-275.

[2] Nguyen, A., Kishore, S., Hong, Y., Qutab, S. & Dang, B. (2025) Generative Artificial Intelligence (AI) in education: from organizing visions to official guidelines. Information Technology & People, 38(8), pp. 172-199.

[3] Wang, P., Jing, Y. & Shen, S. (2025) A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies. The Internet and Higher Education, 65, 100996.

[4] Bouebdallah, N. & Ben Youssef, W.A. (2025) Assessing students’ intention to adopt generative artificial intelligence. Journal of Accounting Education, 72, 100984.

[5] Song, Z., Qin, J., Jin, F., Cheung, W.M. & Lin, C. (2025) A case study of teachers’ generative artificial intelligence integration processes and factors influencing them. Teaching and Teacher Education, 165, 105157.

[6] Panday-Shukla, P. (2025) Exploring generative artificial intelligence in teacher education. Teaching and Teacher Education, 65, 105088.