Zhao, J. W. (2023). The Theoretical Misunderstanding and Path Transition in the Application Risk Governance of Generative Artificial Intelligence Technology. Jingchu Law Review, No. 3, 47-58.

has been cited by the following article:

• TITLE: Generative Artificial Intelligence Data Risks and Governance Pathways

  AUTHORS: Bo Jiang, Xiongbiao Ye

  KEYWORDS: Generative Artificial Intelligence, Technological Ethics, Data Risks

  JOURNAL NAME: Beijing Law Review, Vol.16 No.3, August 11, 2025

  ABSTRACT: Generative AI, exemplified by ChatGPT, offers societal benefits while posing challenges to data governance. Addressing data risks is vital for its healthy development. This paper examines the technical framework and pre-training data system of generative AI, identifying risks such as personal information, data property, and national security. These risks amplify traditional network data concerns. To mitigate them, the study suggests categorizing risks and applying relevant legal frameworks, including China’s Personal Information Protection Law and Cybersecurity Law. Acknowledging the limitations of existing laws, it advocates for supplementary ethics rules, stricter penalties for violations, and an enhanced sanctions system to strengthen data governance in generative AI.