This paper analyzes the copyright attributes of artificial intelligence generated content in education and teaching

Abstract

With the extensive involvement of artificial intelligence-generated content in education and teaching activities, the determination of its copyright attributes faces theoretical disputes and application difficulties. This paper analyzes the issue from three dimensions: the criteria for determining originality, the logic of ownership attribution, and the boundaries of fair use. At the level of originality, this paper proposes shifting the reference framework from general works to the set of possible expressions under the same type of teaching task. At the level of ownership attribution, this paper advocates allocating rights between users and developers based on the standard of "substantive creative control" and constructs a joint copyright structure under the collaborative generation model. At the level of fair use, this paper clarifies the exemption conditions for reproduction acts, citation norms, and the interest balancing mechanism for non-commercial dissemination. The research aims to provide an analytical framework for the copyright determination of artificial intelligence-generated content in education and teaching scenarios.