Filed under generative-ai
Every brief tagged "generative-ai".
- § 01 · SPC
Fa Fa [2026] No. 10: How the Supreme People's Court Explains Its First Adjudication Rules for AI Disputes
On 7 September 2026 the Supreme People's Court released the Opinions of the Supreme People's Court on Trying Cases Involving Artificial Intelligence Disputes in Accordance with Law (最高人民法院关于依法审理涉人工智能纠纷案件的意见), document number Fa Fa [2026] No. 10 (法发〔2026〕10号) — the first adjudication-rules document on AI from China's highest court. This brief translates the Court's own release note in full: the drafting background (the April 2025 Politburo study session, the 15th Five-Year Plan's call for rules on AI-generated output, the State Council's IP plan), the four drafting considerations (including the Court's statement that China has no dedicated AI law, so the Opinions work through the Civil Code, PIPL, Copyright Law, AUCL, Consumer Protection Law and Civil Procedure Law), and the part-by-part summary of the 24 articles. DCC then maps every article for overseas counsel — the fault-based default under Civil Code Art. 1165(1); the Article 4 rules on AI face-swapping, voice cloning and 'AI resurrection'; the Article 5 doxxing rule; Article 6 on training with lawfully public personal information; Article 7's notice-and-takedown rule for generative-AI providers; Article 8 injunctions; Article 9's physical-carrier limit on 'AI product'; Article 10 on algorithmic price discrimination and celebrity-impersonation fraud; Article 11 on autonomous and assisted driving; the IP articles 12–16 (training-data disclosure by developers, open-source exemption, AI-assisted inventions, technology contracts, data use under copyright, trade secrets and AUCL Art. 13); the procedure articles 17–20 (adverse inference, evidence review of AI output, sanctions for AI-fabricated evidence, the duty to verify and disclose AI-generated filings); and the working-mechanism articles 21–24 — and explains what a 法发 document is and is not.
- § 02 · SPC
'Inclusiveness Is Not Indulgence': The Supreme People's Court Takes Five Questions on Its AI Disputes Opinions
Full translation of the Supreme People's Court's press-conference Q&A on the Opinions on Trying Cases Involving Artificial Intelligence Disputes in Accordance with Law (关于依法审理涉人工智能纠纷案件的意见, Fa Fa [2026] No. 10), released 7 September 2026. Five questions, answered by the SPC's senior officials. On rights versus innovation: fault-based liability is the default to avoid over-burdening an early-stage industry, 'AI product' is strictly limited to products with a physical carrier (robots, autonomous cars — not AI services), training on lawfully public personal information is generally not an infringement, and algorithmic price discrimination and AI celebrity-impersonation fraud are actionable. On AI-generated content and IP: liability must match control capability and duty of care, a developer raising a non-infringement defense must produce training-data sources, training process and operating mode, and AI-enabled fake reviews and false advertising are unfair competition — while copyrightability of AI output and unlicensed training remain deliberately unaddressed. On personality rights: 'inclusiveness is not indulgence' — Article 4 on face-swapping, voice cloning and 'AI resurrection', Article 5 on doxxing, and Article 8 on personality-rights injunctions against providers. On the 'safe harbor': why Civil Code Article 1195's notice-and-takedown rule applies by analogy to generative-AI providers for both hallucinated and user-induced infringing output. On the courts themselves: AI-fabricated evidence, sham litigation, and the duty to verify and disclose AI-generated pleadings and case-search reports after courts found hallucinated case citations in filings.
- § 03 · GENERATIVE-AI
Which of the Ten Duties Actually Bites: Cheng Xiao on Fault and Statutory Duty for Generative-AI Providers
In a Political Science and Law Tribune article, Tsinghua professor Cheng Xiao (程啸) resets how Chinese courts should reason from a generative-AI provider's statutory duties to civil fault. His thesis: tort liability here is fault-based under Civil Code Art. 1165(1); 'duty of care' is not a separate element but the objective reasonable-person standard in AI dress. Crucially, not every breach of a statutory duty is fault. Negative duties (do not infringe) collapse into the 'infringement of rights' element and prove nothing about fault; only breach of an affirmative statutory duty can ground fault — and only where the duty aims to protect individuals, the plaintiff is within its protected class, and the harmed interest is within its protected scope. Applying that filter to the ten affirmative duties in the Generative AI Interim Measures, Cheng sorts them into result-based and method-based obligations, sets out five factors for judging the method-based ones, and criticizes two court rulings that grounded fault on a labeling or risk-warning duty in copyright cases the duty was never meant to protect against.
- § 04 · GBT-35273
From Consent to Governance: What the 2026 Draft Revision of GB/T 35273 Changes Against the 2020 Standard
On June 17, 2026 the National Cybersecurity Standardization Technical Committee (TC260), with CESI as drafting lead, released for public comment a systematic revision of GB/T 35273 — China's most-cited personal-information standard, the de-facto 'small PIPL.' The draft retitles the standard from 'Information Security Technology' to 'Data Security Technology' and expands its normative references from one standard to eight. DCC reads the revision as a role change, not a clause count: the standard moves from a consent-and-notice manual into a governance-capability framework. The substantive increments against GB/T 35273-2020: a new Chapter 5 importing PIPL Article 13's seven lawful bases as a standalone chapter with hard boundaries on each (contract-necessity, HR, public-disclosure) plus an evidence-chain duty; a sensitive-PI redefinition aligned to PIPL Article 28 with a new aggregation rule (multiple items that together meet the threshold are treated as sensitive as a whole); a formal 'separate consent' definition (3.7) with a negative list; a new eighth basic principle, 'quality assurance' (Chapter 4(f)); dedicated AI clauses on the collection side (6.7), in minimum-necessity (6.1 d–f), in aggregation/training (8.4), and a new generative-AI use clause (8.5.4) with output review and a 15-working-day deletion SLA; a unified-account-system clause (8.6) aimed at one-account-many-products groups; a terminal/IoT collection clause (6.8); a wholly new Chapter 11 on overseas-jurisdiction determination and conflict handling; and a systematized internal-control chapter (13) covering the person in charge of personal information protection, working body, processing-activity records, impact assessment, and a GB/T 46903-anchored compliance audit. Subject-rights response time tightens from 30 days to 15 working days. Clause numbers are from the comment draft and are not final; formal release is expected after 2027.
- § 05 · AI-GOVERNANCE
China's First AI-Ghostwritten 'Seeding Post' Case — a Duty of Care for Generative-AI Providers
China's first unfair-competition case over AI batch-ghostwritten 'seeding posts' (种草笔记 — the staged, first-person product-recommendation notes that drive discovery commerce on Xiaohongshu/RED). On appeal, the Hangzhou Intermediate People's Court ((2025) Zhe 01 Min Zhong No. 3998) held that the operators of an 'AI writing' tool ('AI写作鹅') that let users one-click-generate fake first-person Xiaohongshu notes — fabricating personal experiences and feelings — committed unfair competition under Article 2 (the general clause) of the Anti-Unfair Competition Law. The court built an explicit four-factor duty-of-care test for generative-AI providers (is it generative AI; does it target a specific scenario/another's product as its 'application layer'; is it directional and inducing; is it a paid, for-profit service), citing Articles 4(3), 5(1) and 22 of the Generative AI Services Interim Measures. Because the tool was named after Xiaohongshu, marketed to mass-produce on-brand 'seeding' copy, charged a membership fee, and shipped with no notice or reminder against the foreseeable misuse, the providers were at fault. The appeal court affirmed liability but cut damages from RMB 200,000 to RMB 100,000 on an 'inclusive and prudent' (包容审慎) view of AI, and reversed joint liability for the third defendant that merely hosted the download. DCC OCR'd the full judgment from the source images; this is our case brief for overseas counsel.