China’s AI regulation centres on the Interim Measures for the Management of Generative Artificial Intelligence Services (effective 15 August 2023), which require AI-service providers to disclose AI use and forbid listing generative AI as a co-author. For Western universities collaborating with Chinese institutions, the rules affect authorship credit, cross-border data transfer, and how AI tools may be used in co-supervised research.
China’s Interim Measures for the Management of Generative Artificial Intelligence Services is the country’s first binding, AI-specific regulation, jointly issued by the Cyberspace Administration of China (CAC) and six other ministries. It sits alongside the Cybersecurity Law, the Data Security Law and the Personal Information Protection Law (PIPL) as the legal backbone for how AI-enabled research involving Chinese partners must be conducted.
This matters for research administrators well beyond China’s borders. Joint-authorship agreements, data-sharing memoranda and co-supervision arrangements with Chinese universities now have to reconcile Chinese disclosure and labelling duties with the authorship norms already in force under COPE, ICMJE and journal policy in the EU, UK and US.
- What China’s Interim Measures for Generative AI actually require
- How China’s framework compares with the EU, UK and US
- What this means for joint authorship and contributor disclosure
- Data-sharing and cross-border transfer requirements
- Common questions on China’s AI regulation and research collaboration
- Implications for research offices
What China’s Interim Measures for Generative AI actually require
The Interim Measures require providers of public-facing generative AI services to register with the CAC, prevent outputs that undermine state security or social stability, and take measures against algorithmic bias. Internal research and development that is not offered as a public-facing service is treated more lightly, but outputs intended for publication or public dissemination fall squarely within scope.
Two further instruments extend the regime. The Measures for Labeling AI-Generated and Synthesized Content, paired with the national standard GB 45438-2025, took effect in September 2025 and require visible or embedded labels on AI-generated text, images and audio distributed in China. The Ministry of Science and Technology’s guidelines on responsible research conduct, issued in December 2023, apply specifically to academic work: they prohibit using generative AI to draft funding applications and require researchers to disclose any generative AI use in their methodology.
China has not enacted a single, comprehensive AI statute. A draft Artificial Intelligence Law has appeared on the National People’s Congress Standing Committee’s legislative agenda since 2023, but no official draft had been released as of December 2025, and the enactment timeline remains unclear.
How China’s framework compares with the EU, UK and US
None of the four major jurisdictions regulates AI in research collaboration through a single dedicated instrument. Each layers AI-specific rules on top of existing data-protection, cybersecurity and research-integrity frameworks, but the point at which those rules bind differs sharply.
| Jurisdiction | Core AI instrument | Status (as of mid-2026) | Authorship / disclosure rule for research |
|---|---|---|---|
| China | Interim Measures for Generative AI Services (2023) plus labelling rules (2025) | In force; comprehensive AI Law still in draft | Ministry of Science and Technology guidelines bar listing AI as a co-author; AI use must be disclosed |
| European Union | AI Act, Regulation (EU) 2024/1689 | General-purpose AI obligations apply from August 2025; most other obligations from August 2026 | No AI-authorship bar in the Act itself; publishers apply COPE and ICMJE norms |
| United Kingdom | No dedicated AI statute; pro-innovation, regulator-led approach | Existing regulators (ICO and sector bodies) apply cross-cutting principles | COPE- and ICMJE-aligned: AI cannot be listed as author; disclosure expected in methods sections |
| United States | No comprehensive federal law; state statutes (e.g. the Colorado AI Act) and the voluntary NIST AI Risk Management Framework | Patchwork of state laws; federal approach still executive-order-driven | NIH bars AI from being listed as an author or used by peer reviewers to evaluate applications; journals follow ICMJE/COPE |
The practical convergence is striking: China, the EU, the UK and the US all reach the same conclusion on authorship — a generative AI system cannot satisfy the accountability that authorship implies — even though none of them arrives there through identical legislation.
What this means for joint authorship and contributor disclosure
China’s Ministry of Science and Technology guidelines and the international consensus reflected in ICMJE recommendations and COPE position statements agree on one point: generative AI tools cannot be listed as authors or contributors, because they cannot take responsibility for the accuracy and integrity of the work. This aligns with the accountability criterion embedded in the CRediT contributor role taxonomy, which CASRAI originated in 2014 and which is now stewarded by NISO as ANSI/NISO Z39.104-2022.
For joint publications with Chinese co-authors, this means AI-assistance disclosure statements now need to satisfy two regimes at once: China’s requirement to label AI-generated content and disclose AI use in the methodology, and the contributor-role documentation expected by journals following CRediT or ICMJE authorship criteria. A single disclosure paragraph, drafted to meet the stricter of the two standards, is usually sufficient — but it should name the specific generative AI tool, its role, and confirm that no tool is credited as an author or contributor.
- Confirm which named human contributors meet Chinese and Western authorship criteria before drafting the manuscript.
- Record AI-tool use (what, where, why) in a disclosure statement that satisfies both the Chinese labelling requirement and journal policy.
- Never list a generative AI system as an author, co-author or contributor under any of the four frameworks compared above.
Data-sharing and cross-border transfer requirements
Research data moving out of China is governed by the Data Security Law and the Personal Information Protection Law, not by the Interim Measures themselves. Transfers of “important data” or bulk personal information generally require a CAC security assessment, a process legal trackers monitoring Chinese compliance report can take several months to clear. Projects that involve Chinese human genetic resources — common in biomedical and health-informatics collaborations — additionally require prior approval from the Ministry of Science and Technology before data can be shared internationally.
Co-supervised doctoral projects that route data through a public-facing generative AI service add a further layer: the service falls within the Interim Measures’ registration and labelling scope, even where the underlying collaboration is privately arranged between two universities.
Common questions on China’s AI regulation and research collaboration
Does China have a comprehensive AI law?
No. As of mid-2026, China has no single, comprehensive AI statute; regulation proceeds through targeted instruments — the Cybersecurity Law, the Data Security Law, the Personal Information Protection Law, and AI-specific measures such as the Interim Measures for Generative AI. A draft national Artificial Intelligence Law remains under review, with no confirmed enactment timeline.
What is the Interim Measures for the Management of Generative AI Services?
It is China’s first binding national regulation aimed specifically at generative AI, effective 15 August 2023. Issued jointly by the Cyberspace Administration of China and six ministries, it requires providers to register services, label AI-generated content, and prevent outputs that undermine state security or social stability.
Can AI be listed as a co-author on Chinese-affiliated research?
No. China’s Ministry of Science and Technology guidelines on responsible research conduct, issued in 2023, prohibit listing generative AI tools as co-authors and require disclosure of AI use in manuscripts and funding applications. This mirrors COPE and ICMJE guidance already applied by EU, UK and US publishers.
Do foreign researchers need approval to share data with Chinese AI research partners?
Often, yes. Under the Data Security Law and PIPL, transferring research data — especially human genetic or health data — outside China can require a Cyberspace Administration of China security assessment. Projects involving Chinese human genetic resources additionally need Ministry of Science and Technology approval before international sharing proceeds.
Implications for research offices
Research offices managing joint-authorship agreements, data-sharing memoranda or co-supervision arrangements with Chinese institutions need compliance processes that satisfy Chinese disclosure and security-review requirements without weakening the authorship and contributor-role standards already expected by Western journals and funders. Treating China’s rules as an additional layer on top of existing CRediT-based authorship practice, rather than a separate compliance track, keeps the paperwork proportionate.
China’s regulatory posture is still moving: the Ministry of Science and Technology, the CAC and the State Council have all issued new instruments since mid-2025. Institutions with active China partnerships should treat authorship-disclosure and data-transfer procedures as living documents, reviewed annually against the current Chinese, EU, UK and US rules.
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