Providers of AI systems that interact directly with people must design them so users know they are dealing with an AI system, unless that is obvious to a reasonably well-informed, observant and circumspect person in the context of use.
Provider / applies from 2 August 2026EU AI Act transparency
EU AI Act Article 50 transparency obligations
EU AI Act Article 50 is the transparency article of Regulation (EU) 2024/1689: it requires AI disclosure, machine-readable marking of generated content and deepfake labels from 2 August 2026. This page explains every obligation in plain language, with a free scanner for public AI products, C2PA checks for generated media and public scorecards that cite their evidence.
Quick answer
What does EU AI Act Article 50 require?
EU AI Act Article 50 requires, from 2 August 2026, that people are told when they interact with an AI system, that AI-generated audio, images, video and text are marked in a machine-readable way, and that deepfakes are labelled. isGenAI (isgenai.com) explains each obligation and offers a free scanner and C2PA checker; it is not legal advice.
- Article 50(1): providers must disclose direct interaction with an AI system.
- Article 50(2): providers must mark synthetic outputs in a machine-readable, detectable format.
- Article 50(3) and 50(4): deployers must notify people about emotion recognition or biometric categorisation and label deepfakes and certain public-interest text.
- Article 99(4) sets fines of up to EUR 15 million or 3% of worldwide annual turnover.
- No isGenAI rating is an EU certification.
Last updated by isGenAI. Methodology and limits
The obligations
What Article 50 requires, and from when
Regulation (EU) 2024/1689 was published on 12 July 2024 and entered into force on 1 August 2024. Its Article 50 transparency obligations apply from 2 August 2026, and Art. 99(4) backs them with fines of up to EUR 15 million or 3% of worldwide annual turnover.
Providers of systems that generate synthetic audio, image, video or text, including general-purpose AI, must mark outputs in a machine-readable format and make them detectable as artificially generated or manipulated, with solutions that are effective, interoperable, robust and reliable as far as technically feasible. Assistive editing that does not substantially alter the input is exempt.
Provider / applies from 2 August 2026Deployers of emotion recognition or biometric categorisation systems must inform the natural persons exposed to them that the system is operating, and must process personal data under EU data-protection law.
Deployer / applies from 2 August 2026Deployers must disclose that deepfake image, audio or video content is artificially generated or manipulated, and must disclose AI-generated text published to inform the public on matters of public interest unless it passed human review with editorial responsibility. Evidently artistic, creative, satirical or fictional works get a disclosure that does not hamper the work.
Deployer / applies from 2 August 2026Art. 50(5) binds all four: every disclosure must be clear, distinguishable and accessible, delivered no later than the first interaction or exposure. The European Commission published its transparency guidelines on 20 Jul 2026 and the Code of Practice on Transparency of AI-generated Content on 31 Jul 2026; isGenAI maps every control to those texts and cites them on each scorecard. This page explains the law and the evidence. It is not legal advice, and no isGenAI rating is an EU certification.
Why isGenAI
Evidence you can verify, not claims you have to trust
Every number below comes from the running product. No estimates, no invented percentages.
- Signed receipts
- Ed25519Every public check produces a signed receipt. Verify it against the published key at /.well-known/isgenai-receipt-key.json.
- C2PA checks
- Local validationContent Credentials validated in memory with the open-source C2PA library. Signature validity and signer trust reported separately.
- Public scorecards
- 23 products tracked5 Article 50 control families under isgenai-methodology-2026-08-16.v1. Every published scorecard clears an evidence gate first.
- Languages
- 91 interfacesImage tool interfaces localized for teams worldwide, with English evidence pages built for citation.
- Price
- FreeNo account and no API key for the scanner, the C2PA checker, public scorecards and the public data feeds.
- Sources
- Official textEvery control cites the Regulation, the Commission guidelines and the Code of Practice, versioned and dated.
Guides and tools
Go straight to the obligation you need to meet
Each guide pairs the official text with a working scanner, live observations and the evidence that satisfies the control.
Transparency questions, answered
What are the EU AI Act Article 50 transparency obligations?
Article 50 of Regulation (EU) 2024/1689 sets four transparency duties. Providers must tell people when they interact with an AI system (50(1)) and must mark synthetic audio, image, video and text output in a machine-readable, detectable way (50(2)). Deployers must notify people exposed to emotion recognition or biometric categorisation (50(3)) and must disclose deepfakes and AI-generated public-interest text (50(4)). Article 50(5) requires every disclosure to be clear, distinguishable and accessible at the first interaction or exposure.
When does Article 50 apply?
Article 50 applies from 2 August 2026. The Regulation was published in the Official Journal on 12 July 2024 and entered into force on 1 August 2024. The European Commission's transparency guidelines and the Code of Practice on Transparency of AI-generated Content, both published in July 2026, explain how providers and deployers meet the obligations in practice. isGenAI records those dates on every scorecard and source link.
Who must comply: providers or deployers?
Both. Article 50(1) and 50(2) bind providers, the organisations that build and place AI systems on the market. Article 50(3) and 50(4) bind deployers, the organisations that use those systems with people or publish their output. A company that builds and runs its own generative product carries both sets of duties, and Article 50(5) applies to every disclosure regardless of role.
What counts as machine-readable marking under Article 50(2)?
Machine-readable marking means a signal that software can detect without a human reading the content: C2PA Content Credentials, provenance metadata such as IPTC digital source type, and robust watermarks are the mechanisms named in current practice. isGenAI's C2PA checker validates Content Credentials locally and reports signature validity and signer trust separately, and the provenance checker reads supported metadata, so you see exactly which marks a file carries and which transformations remove them.
How do I check whether my AI product meets Article 50?
Start with the free Article 50 scanner: enter a public product URL and get the observable disclosure signals, the controls each one maps to and the evidence each control still needs. Then upload generated files to the C2PA and provenance checkers to confirm machine-readable marking survives your export pipeline. For authenticated surfaces, submit authorized private workflow evidence through the scanner's intake flow. Every result records its method, date and limits so counsel can rely on it.
Is an isGenAI scorecard a compliance certification?
No, and that is its strength. A scorecard is independent, externally observed evidence: public interaction disclosures, generated-artifact marking checks, provenance signals and change history, each with a status, confidence band and hash-linked evidence record. It is not legal advice and not an EU certification. It gives buyers, counsel and regulators verifiable facts, and ratings are never for sale.
Control families
Five control families, one versioned methodology
isGenAI models Art. 50(1) to 50(5) as testable controls. 50(5) runs across all of them as the clarity, timing and accessibility check.
interaction disclosure
PROVIDER / externally testablemachine readable marking
PROVIDER / externally testableemotion biometric notice
DEPLOYER / context requireddeepfake public interest label
DEPLOYER / externally testableclarity accessibility timing
BOTH / externally testableLive data
Public scorecards, findings and evidence records
Scorecards go public the moment their evidence clears the publication gate. Until then the scanners, checkers and official sources are ready to use.
Ratings publish on evidence, never on website wording.
A rating needs proof that generated outputs are marked and that disclosure works inside the product flow. isGenAI withholds every grade until that evidence exists, which is exactly why a published grade means something.
Recently assessed
AI products with public scorecards
Recent findings
Transparency observations
Sources
Official source registry
Official requirements, isGenAI observations and vendor-submitted evidence are always kept apart, so you know exactly who said what.
Running a procurement review? Start with AI vendor risk assessment and AI vendor due diligence, and keep a vendor's public claims separate from the evidence you obtain through testing.