LEGAL RISKS AND RESPONSES DRIVEN BY GENERATIVE ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION

Abstract

Generative AI is transforming the traditional education model while providing intelligent technology support for college teachers and students. However, the application of this technology in education is accompanied by multiple legal risks: such as the conflict between data privacy protection and personalized data collection, the contradiction between the unclear ownership of intellectual property rights and the ownership of generated content, the dilemma of unclear responsible subjects and the division of legal responsibilities, and the challenge of academic integrity under the intervention of technology. To circumvent these risks, privacy should be protected through authorization control and data minimization, make clear ownership rules for generated content in intellectual property governance, establish a multisubject responsibility allocation mechanism, define legal boundaries, and maintain educational order by strengthening academic integrity mechanisms and ethical frameworks to balance technological innovation and legal norms and promote sustainable higher education.

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