Analysis of Copyright Attributes of Artificial Intelligence-Generated Content in Education and Teaching

Abstract

With the spread of AI-generated content in education and teaching, many problems related to the copyright of such works have recently emerged. The three contents of this paper are the criteria for determining originality, the logic of ownership attribution and the scope of fair use. In terms of the newness of this study, the basis of reference will be changed from general works to the set of possible expressions under the same type of teaching task. According to the criterion of "substantive creative control" at the level of ownership attribution, this paper proposes that the right should be jointly held by users and developers, and a joint copyright structure should be established in the collaborative generation model. Fair use at the level of this paper refers to the conditions for the exception of reproduction acts, citation norms and the balance of interests in non-commercial dissemination. The purpose of this paper is to provide a theoretical basis for the copyright protection of AI-generated works in education and teaching.