Generative AI represented by ChatGPT brings new challenges to the development of higher education field in China. There is a lack of empowerment between the application and regulation of generative AI. This paper analyzes the current situation of the application of generative AI, and clarifies the two hidden risks embedded, namely, the risk of use and the risk of identification. It vividly explains the impact and influence of generative AI on academic norms and copyright governance in the input, operation, and output ends, and proposes that a clear attitude, policy regulation, and technological autonomy are needed to monitor the use of generative AI and standardize its use, so as to better realize the principles of human-computer synergy and intelligence for the good. Since the launch of the Big Language Model (ChatGenerativePre-trainedTransformer, Chat Generative Pre-trained Transformer) by the US Open Artificial Intelligence Research Center (OpenAI) in 2022, the global generative AI has entered the culmination of the development of the Digital Intelligence Era. Especially in the past two years, with the emergence of various AI tools such as GPT4.0, StableDifussion, Sora, etc., the level of people's previous knowledge of AI big language models has been subversively changed. In this context, the AIforScience model of AI-driven scientific research has made unprecedented breakthroughs in broadening the boundaries of scientific discovery, improving the efficiency of scientific research, and enhancing the speed and accuracy of numerical simulations. As a result, generative AI has an application prospect and potential in the higher education environment that cannot be ignored, which can promote the innovation of higher education to a certain extent, whether it is scientific research or enabled education. Generative Artificial Intelligence (GenerativeArtificialIntelligent) is widely used in higher education because of its multi-source and open multi-modal information aggregation and conversion capability, efficient and convenient cross-domain information integration and generation capability, as well as its wide-area innovation and strong discursive information screening and simulation capability. However, it has also brought about controversial issues such as academic misconduct and copyright infringement, which have profound impacts on the development of China's higher education environment at multiple levels. Therefore, it is of great significance to study the copyright governance of generative AI in the application of academic norms in the field of higher education in China. This paper discusses from multiple perspectives, such as education, law, and technology, and provides an in-depth summary as well as an analysis of the research literature related to the copyright governance of AIGC academic norms in the higher education environment published in the China Knowledge Network database, with a view to contributing to the development of the relevant research in the field and the construction of the rule of law of generative AI.

Artificial intelligence;Copyright;Higher education;Academic norms

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DOI： https://doi.org/10.62639/sspjiss05.20250203

Published： 2025