International Journal of Frontiers in Sociology, 2026, 8(2); doi: 10.25236/IJFS.2026.080202.
Gao Xiaowen1, Deng Lingzhao2
1School of Foreign Languages and Business, Shenzhen Polytechnic University, Shenzhen, China
2School of Undergraduate Education, Shenzhen Polytechnic University, Shenzhen, China
While Generative Artificial Intelligence has profoundly transformed socioeconomic production, and business paradigms, it concomitantly encompasses data compliance risks, intellectual property (IP) infringements, and threats to social trust. China's current regulatory framework for Generative AI suffers from several structural deficiencies, including fragmented statutory provisions, ambiguous liability allocation mechanisms, and notable regulatory gaps. Adopting a risk-based governance approach, this study examines these major risks and outlines specific regulatory countermeasures. It argues that effective AI governance necessitates a paradigm shift toward a comprehensive framework that integrates statutory mandates with adaptive regulation, thereby striking a balance between fostering technological innovation and safeguarding digital rights.
Generative Artificial Intelligence; Data Compliance; Intellectual Property; Social Trust and Ethic
Gao Xiaowen, Deng Lingzhao. Legal Regulation of Chinese Generative Artificial Intelligence. International Journal of Frontiers in Sociology (2026), Vol. 8, Issue 2: 11-19. https://doi.org/10.25236/IJFS.2026.080202.
[1] Chen, J. F. (2023, January 11). Generative AI continues to explode: Industrial opportunities are expanding infinitely. Communication Information News, 008.
[2] Song, H. J. (2024). Legal risks and governance path of generative artificial intelligence. Journal of Beijing Institute of Technology, (3), 134–143.
[3] Liu, Y. H. (2023). The three major security risks and legal regulation of generative artificial intelligence: Taking ChatGPT as an example. Oriental Law Review, (4), 29–43.
[4] Gu, N. F. (2023). The emergent intelligence, risk regulation and industrial regulation of generative artificial intelligence. Jingchu Law Review, (3), 70–83.
[5] Shang, J. G. (2023). On the meta-rules for risk governance of generative artificial intelligence. Oriental Law Review, (3), 4–17.
[6] Hou, D. D., & Zhang, L. P. (2023). Legal regulation of network information ecological risks in the context of generative artificial intelligence. Social Sciences Research, (6), 93–104.
[7] Wang, D. Z., & Zhang, T. (2023). Risks, dilemmas, and countermeasures: Personal information security challenges and legal regulation caused by generative artificial intelligence. Journal of Kunming University of Science and Technology (Social Sciences Edition), 23(5), 8–17.
[8] Zhu, R. R. (2025). Challenges and responses of generative artificial intelligence to personal information protection. Journal of Chongqing University (Social Science Edition), (4), 222–235.
[9] Cheng, L. (2023). Legal regulation of generative artificial intelligence: From the perspective of ChatGPT. Journal of Political Science and Law, (4), 69–80.
[10] Luo, Y., & Chen, J. X. (2023). Legal response to the anomie risks of generative artificial intelligence from the perspective of Kelsen's normative theory. Journal of Guizhou University (Social Science Edition), 41(5), 98–108.
[11] Chen, B., & Dong, S. Y. (2023). Algorithmic risks and governance bases of generative artificial intelligence. Study and Practice, (10), 22–31.
[12] Guo, C. Z. (2023). The coherent legal governance of generative AI: Taking the generative pre-training model (GPT) as an example. Modern Law Review, 45(3), 88–107.
[13] Zhao, Z. Y. (2024). Data security and countermeasures of generative artificial intelligence. Information and Documentation Services, 45(2), 30–37.
[14] Chen, B. (2023). Risk challenges arising from the innovative development of artificial general intelligence and their legal responses. Intellectual Property, (8), 53–73.
[15] Zheng, X., & Zhu, S. R. (2023). Legal risks and regulation of generative artificial intelligence. Changbai Journal, (6), 80–88.
[16] China Youth Network. (2023, February 5). AI's alternative talent: Creating and spreading falsehoods. http://news.youth.cn/gj/202302/t20230205_14298793.htm
[17] Hood, L. L. (2024, March 5). Experts say that soon, almost the entire internet could be generated by AI. Futurism. https://futurism.com/the-byte/ai-internet-generation
[18] Li, R. Y., Wang, L., & Jia, J. Y. (2023, February 21). The intellectual property risks behind ChatGPT. China Youth Daily, 06.
[19] Wu, H. D. (2020). The copyright law questions of AI-generated works. Peking University Law Journal, 32(3), 653–673.
[20] Jiang, Y. C. (2024). Legal regulation of data risks of generative artificial intelligence. Journal of Taiyuan University of Technology (Social Science Edition), 42(1), 29–35.
[21] Cai, S. L., & Yang, L. (2023). Research on the risks and collaborative governance of ChatGPT intelligent robot applications. Information Studies: Theory & Application, 46(5), 14–22.