Abstract
The rapid development of Generative Artificial Intelligence (GAI) in higher education presents abundant opportunities for its high-quality development, but also introduces ethical concerns. This paper analyses the benefits of GAI in higher education in terms of teaching, learning, and evaluation. Additionally, it explores the ethical risks and reasons associated with GAI in higher education covering aspects such as data, algorithms, academia, and teacher-student relationships. The paper concludes by proposing methods and strategies to mitigate these ethical risks.
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