Providers of generative AI must mark synthetic output as artificially generated in a machine-readable way
Download: JSON · MarkdownUnder EU AI Act, Article 50(2)
What this label means
- Verified
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- Pending review
- — linked to the official source and in the queue for a reviewer to confirm.
- Source-linked
- — linked to the official source, not yet confirmed by a reviewer.
On this page 9 sections
In brief
Providers of generative AI must mark synthetic output as artificially generated in a machine-readable way is a legal requirement under the EU AI Act in the European Union (Article 50(2)). It applies from 2 August 2026. The record carries 2 evidence examples and mappings to 2 frameworks.
- Instrument
- EU AI Act
- Jurisdiction
- European Union
- Nature
- Legal requirement
- Source reference
- Article 50(2)
- Applies from
- 2 August 2026
- Who it binds
- Provider / developer, General-purpose AI model provider
- Evidence examples
- 2
- Framework mappings
- ISO/IEC 42001:2023, NIST AI Risk Management Framework 1.0
- Controls that meet it
- 2
- Official source
- Open official text
- Verification
- Verified against the official source 26 Sep 2026
What does it require?
Providers of AI systems, including general-purpose AI systems, that generate synthetic audio, image, video or text must ensure the output is marked in a machine-readable format and detectable as artificially generated or manipulated. The technical solution must be effective, interoperable, robust and reliable as far as the state of the art allows, taking account of content type and cost. Systems that only perform assistive editing or do not substantially alter the input, and law-authorised criminal-detection uses, are outside the duty.
Practical action
Implement watermarking or content credentials on generated output and keep test evidence that the mark survives common transformations.
Who does it apply to?
Providers of systems that generate synthetic media or text, whatever the risk tier; codes of practice under Article 50(7) will detail acceptable techniques.
Applies from:
Which controls meet this duty?
Satisfies: the control, operated properly, does the work the duty asks for. Supports: it contributes but the duty needs more. Each control page lists every other duty it serves, so work done once can be counted once.
-
satisfiesTechnical measureEngineering lead · continuousSynthetic content labelling and provenance marking
Serves 5 recorded duties · evidence: Content labelling and provenance standard, Watermark and provenance robustness test, Visible AI-generated content label
Machine-readable marking with robustness evidence.
-
supportsTechnical measureQuality or testing lead · at launch and on material changeAccuracy, robustness, fairness and security testing
Serves 15 recorded duties · evidence: Pre-release test report, Test plan and acceptance criteria, Release test sign-off
Tests that the mark is robust and reliable.
Templates that cover this duty
Generated from the records. Free · no account · links emailed to your work address. This duty is cited in each file with its source reference and a link back here.
- EU AI Act Role and Risk Classifier
Checklist · XLSX · v4
- AI Agent Registry and Permission Matrix
Register · XLSX and DOCX · v6
- EU AI Act Article 50 Transparency Kit
Kit · DOCX and XLSX · v44
- ISO/IEC 42001 Gap Assessment and Statement of Applicability
Assessment · XLSX · v3
What evidence would a reviewer expect?
| Evidence | Type | Notes |
|---|---|---|
| Provenance marking design and robustness test report | report | |
| Output sample with embedded machine-readable mark | record |
Framework mappings
Original editorial crosswalks. They cite clause numbers only and reproduce no standard text; confidence reflects how direct the mapping is.
See every European Union duty mapped this way →
| Framework | Reference | Note | Confidence |
|---|---|---|---|
| ISO/IEC 42001:2023 | Annex A.8.2, A.6.2.4 | System documentation; verification and validation of the marking. | low |
| NIST AI RMF 1.0 | MEASURE 2.7, MANAGE 4.1 | Provenance mechanisms as recommended in NIST AI 600-1. | medium |
Frequently asked questions
Is this a legal requirement?
Yes. It is a legal requirement under EU AI Act (Article 50(2)).
Who must comply with this obligation?
Providers of systems that generate synthetic media or text, whatever the risk tier; codes of practice under Article 50(7) will detail acceptable techniques.
When does this obligation apply?
It applies from 2 August 2026.
What evidence shows compliance?
A reviewer would expect: Provenance marking design and robustness test report; Output sample with embedded machine-readable mark.
Which frameworks map to this obligation?
It is mapped to ISO/IEC 42001:2023 Annex A.8.2, A.6.2.4, NIST AI Risk Management Framework 1.0 MEASURE 2.7, MANAGE 4.1. These are editorial crosswalks with a stated confidence, not official mappings.
Which controls satisfy this obligation?
Synthetic content labelling and provenance marking; Accuracy, robustness, fairness and security testing.
What should an organisation do in practice?
Implement watermarking or content credentials on generated output and keep test evidence that the mark survives common transformations.
Cite this record
AIPolicyTracker (2026). “Providers of generative AI must mark synthetic output as artificially generated in a machine-readable way (EU AI Act)” [AIPT-OBL-0039, verified 26 September 2026]. https://aipolicytracker.org/id/AIPT-OBL-0039 (accessed 8 November 2026). Data licensed CC BY 4.0.
Permanent id AIPT-OBL-0039: it never changes or gets reused, and its address keeps working if this page moves.
Cite the official text alongside it: Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence, Official Journal of the European Union, https://eur-lex.europa.eu/eli/reg/2024/1689/oj.
BibTeX
@misc{aipolicytracker2026_providersofgenerativeaim,
author = {{AIPolicyTracker}},
title = {{Providers of generative AI must mark synthetic output as artificially generated in a machine-readable way (EU AI Act)}},
year = {2026},
howpublished = {\url{https://aipolicytracker.org/obligations/eu-ai-act-art-50-2-synthetic-content-marking}},
url = {https://aipolicytracker.org/obligations/eu-ai-act-art-50-2-synthetic-content-marking},
urldate = {2026-11-08},
note = {Data licensed CC BY 4.0. Accessed 8 November 2026}
}
Change history
No change to this record's tracked fields has been recorded since 15 October 2026, when field-level history began.
Similar obligations in other instruments
- Employers must inform workers and their representatives before using high-risk AI at work — EU AI Act, European Union
- Disclose AI interaction and label synthetic content — EU AI Act, European Union
- Deployers of emotion recognition or biometric categorisation must inform exposed persons — EU AI Act, European Union
- Deployers must disclose deepfakes and AI-generated text published on matters of public interest — EU AI Act, European Union
- Deployers must tell natural persons that a high-risk AI system is used in decisions about them — EU AI Act, European Union
- Deployers must explain individual decisions taken with high-risk AI on request — EU AI Act, European Union
- Frontier developers must publish a transparency report before deploying a new frontier model — California SB 53, California (United States)
- Provide deployers with clear instructions for use — EU AI Act, European Union
Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.