The Adjudicative Logic and Functional Role of Chinese Courts in AI Governance
DOI:
https://doi.org/10.69971/lra.4.4.2026.216Keywords:
AI governance, adjudicative logic, anthropocentrism, judicial development of the law, comparative lawAbstract
A structural divide exists between the rapid advancement of artificial intelligence and the relative stability of law. In the absence of dedicated AI legislation, response of Chinese courts to novel AI-related disputes through adjudication and their role in AI governance has become an important research topic demanding urgent attention in contemporary law. Adopting a comparative law perspective and drawing on a systematic analysis of typical AI-related cases decided by Chinese courts, this article distills three adjudicative logics employed by Chinese courts in handling AI cases. Firstly, “anthropocentrism”, in copyright and personality rights, courts have consistently maintained that AI is a tool and that humans are the sole bearers of legal responsibility.AI can’t be an author or a rights-holder. Secondly, a “two-stage liability assessment” by distinguishing between “technology development and provision” and “specific use,” courts have achieved a dynamic balance between technology neutrality and accountability for unlawful acts. Thirdly, “judicial development of the law” where existing law provides no explicit answer, courts have filled legal gaps and created adjudicative standards through methods such as application by reference, analogy, and using general clauses. Through comparative analysis with U.S. and EU courts, current research reveals the different models of institutional division of responsibilities underlying the three adjudicative logics: judicial restraint in the United States, legislation-led governance in the European Union, and judicial pioneering in China. Accordingly, this study demonstrates four core functions of Chinese courts in AI governance. These include upholding human legal subjecthood to anchor the foundations of the rule of law, employing the two-stage assessment to achieve dynamic equilibrium, engaging in judicial development of the law to supply rules, and imposing strict accountability to control risks. The Chinese courts’ pathway of “judiciary first, legislation to follow” is neither the “passive judicial waiting” of the United States nor the “legislation-led pioneering” of the European Union, but a realist path rooted in China’s rule-of-law practice, offering a Chinese approach that may inform global AI governance.
References
Cai, Jingjing, Qingyu Wang, and Bingjie Yu. 2026. The Paradigm Transformation of EU Artificial Intelligence Governance and Its Implications for China. World Science and Technology Research and Development. Advance online publication. https://doi.org/10.16507/j.issn.1006-6055.2026.04.001.
Cao, Jianjun. 2026. Case Database Construction and the Enhancement of Judicial Credibility: From the Perspective of Procedural Law. Journal of Capital Normal University (Social Sciences Edition). Advance online publication. https://link.cnki.net/urlid/11.3188.C.20260417.1123.002.
Chen, Canping, and Ying Zhang. 2026. On Excellent Cases and the Enhancement of Judicial Credibility. Journal of Capital Normal University (Social Sciences Edition). Advance online publication. https://link.cnki.net/urlid/11.3188.C.20260323.1623.008.
Chen, Xiaoping. 2021. Guidance on Artificial Intelligence Ethics. Hefei: University of Science and Technology of China Press.
Cheng, Mai. 2024. The Adjustment of the Legal Concept of the ‘Person’ in the Digital Age. Human Rights, no. 6: 41–67.
De Bruyne, Jan, and Wannes Ooms. 2025. Tort Liability and Artificial Intelligence: Some Challenges and (Regulatory) Responses. In The Cambridge Handbook of the Law, Ethics and Policy of Artificial Intelligence, edited by Nathalie A. Smuha, 158–73. Cambridge: Cambridge University Press. https://doi.org/10.1017/9781009367783.011.
Ding, Xiaodong. 2024. China’s Artificial Intelligence Legislation from a Global Comparative Perspective. Journal of Comparative Law, no. 4.
Dou, Xin. 2024. Determination of Infringement Subjects and Application of Imputation Principles for Copyright Infringement by Generative AI Outputs. Business Economics, no. 9.
European Parliament. 2025. Copyright of AI-Generated Works: Approaches in the EU and Beyond. Prepared by Sofia Karttunen. EPRS Briefing PE 782.585. Brussels: European Parliamentary Research Service, December. https://www.europarl.europa.eu/RegData/etudes/BRIE/2025/782585/EPRS_BRI(2025)782585_EN.pdf.
Fan, Wei. 2021. The Logical Reconstruction of the Principle That ‘A Judge Shall Not Refuse to Adjudicate’: From Absoluteness to Relativity. Tribune of Political Science and Law 39 (1).
Fang, Xingdong, and Keyang Song. 2025. The Collingridge Dilemma in Global AI Governance: Multidimensional Challenges and Collaborative Governance Pathways. Future Communication, no. 3.
Fu, Xinhua. 2025. Diverse Trends in Global AI Legislation and the Chinese Model. Jiaotong Law Review, no. 6.
Gaffar, Hafiz, and Saleh Albarashdi. 2025. Copyright Protection for AI-Generated Works: Exploring Originality and Ownership in a Digital Land-scape. Asian Journal of International Law 15 (1): 23–46. https://doi.org/10.1017/S2044251323000735.
He, Junhui. 2026. An Exploration of the Principles of Imputation for Generative AI Infringement. High Technology and Industrialization, February.
Ji, Weidong. n.d. New Disputes and Rule-of-Law Responses under Technological Accelerationism. Address delivered at the Tenth Annual Conference of the Chinese Sociological Association of Law.
Larenz, Karl. 2020. Methodology of Legal Science. 6th ed. Translated by Jiazhen Huang. Beijing: Commercial Press.
Larsson, Stefan. 2020. On the Governance of Artificial Intelligence through Ethics Guidelines. Asian Journal of Law and Society 7 (3): 437–51. https://doi.org/10.1017/als.2020.19.
Lei, Lei. 2015. Legal Method, Legal Certainty, and the Rule of Law. The Jurist, no. 4: 1–19.
Li, Gaoxie, and Runfa Qi. 2023. Reflections on the Legal Subject Status of Artificial Intelligence. Artificial Intelligence, no. 4.
Li, Xiaofu. 2025. Judicial Determination of Copyright Liability for Generative AI Works. People’s Court Daily, April 24, 2025.
Shen, Wei, and Bingxuan Wu. 2026. The ‘Common Denominator’ of Global AI Governance and Its Maximization: Taking the Soft Law Nature of AI Initiatives as a Starting Point. Fudan Journal (Social Sciences Edition), no. 3.
U.S. Copyright Office. 2025. Copyright and Artificial Intelligence, Part 2: Copyrightability. Washington, DC: U.S. Copyright Office, January. https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf.
Wang, Liming. 2025. The Principles of Imputation and Fault Determination for Generative AI Infringement. China Law Review, no. 4.
Wang, Liming. 2026. Revisiting the Tort Liability Risks of Generative AI and Their Responses. Guangdong Social Sciences, no. 1: 247–58.
Wang, Qian. 2017. On the Characterization of AI-Generated Content in Copyright Law. Legal Science (Journal of Northwest University of Political Science and Law) 35 (5): 148–55.
Wang, Yanyu, Zhengfeng Li, and Fang Gao. 2024. A Comparative Study of AI Governance Models in Europe and the United States. Studies in Science of Science 42 (3): 460–68.
Zhang, Shidi. 2026. The Normativity of Guiding Cases and Their Application: From the Perspective of the Function of Unifying Legal Application. Law-Based Society, no. 2.
Zhao, Zeyu. 2024. Research on Judicial Development of Law in Guiding Cases. Master’s thesis, Liaoning University.
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