Generative AI Data Risks and Legal Regulation

Authors

  • FengLin Deng Beijing Union University, Bejing 100000, China Author

DOI:

https://doi.org/10.63313/Law.8013

Keywords:

Generative AI, Data Risks, Legal Governance

Abstract

Generative AI poses significant data risks across its lifecycle, from potential rights infringement during data collection and opaque algorithmic processing to harmful outputs and storage vulnerabilities. Effective regulation requires robust oversight, including compliance enforcement, algorithmic transparency, and strong data security mandates. China must balance innovation with governance by enhancing laws, ethics, and user protection to ensure responsible development within a legal framework.

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Published

2026-01-15

Issue

Vol. 1 No. 2 (2026): Vol. 1 No. 2 (2026)

Section

Articles

License

Copyright (c) 2026 by author(s) and Erytis Publishing Limited.

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

Generative AI Data Risks and Legal Regulation. (2026). 法学年鉴, 1(2), 14-21. https://doi.org/10.63313/Law.8013
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