Year: 2025
Type: article
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.
Source: Beijing Law Review
Authors: Bo Jiang, Xiongbiao Ye
Language: English
Subfield: Law
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4413226832