Abstract: Generative artificial intelligence (GAI) provides technical support for teachers and students, and the structures of traditional education have been optimized concurrently. However, the application of AGI into education also gives rise to potential legal risks. The risks include infringement risks of copyright and personal information due to data collection and algorithm black boxes, as well as management confusion caused by unclear copyright and ownership of generated content. In terms of source governance of legal risks, targeted solutions, such as digital watermarking, data masking, and access control, are needed to address technical vulnerabilities. In terms of supervision and response of legal risks, it is necessary to, under the guidance of basic principles, implement prevention rules of copyright infringement, rules for personal information collection and usage, and rules for algorithm supervision. For the content by GAI meeting the originality requirement, scenario-based judgments on rights attribution should be made to effectively address legal risks in the operation of GAI in education.