Risks, Strategies, and Prospects of Generative Artificial Intelligence in Digital Education: A Policy Content Analysis Perspective

Artificial Intelligence Generated Content (AIGC) represents a transformative force in digital technology, playing a pivotal role in shaping the landscape of digital education. This research focuses on addressing the critical problem of effectively managing risks associated with AIGC, so as to foster the positive evolution of digital education. Identified risks encompass data privacy and security, ethical considerations related to learning content, challenges in achieving educational equity, and potential pitfalls arising from overreliance and technological errors. In response to these challenges, the study proposes targeted risk mitigation strategies, including reinforcing data privacy protection and security measures, optimizing learning content while managing ethical risks, promoting digital literacy to narrow educational gap, and implementing measures to prevent overreliance and mitigate technological errors. Ultimately, the study delves into the anticipated future state of AIGC in digital education, providing valuable insights into its prospective applications and development directions.