Beijing Law Review

Volume 16, Issue 3 (September 2025)

ISSN Print: 2159-4627   ISSN Online: 2159-4635

Google-based Impact Factor: 0.76  Citations  

Generative Artificial Intelligence Data Risks and Governance Pathways

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DOI: 10.4236/blr.2025.163075    13 Downloads   85 Views  
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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.

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Jiang, B., & Ye, X. B. (2025) Generative Artificial Intelligence Data Risks and Governance Pathways. Beijing Law Review, 16, 1503-1519. doi: 10.4236/blr.2025.163075.

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