Artificial Intelligence Policy Tracker
Legal requirement Transparency and disclosure European Union Partially applicable

Disclose AI interaction and label synthetic content

Download: JSON · MarkdownUnder EU AI Act, Article 50

Pending review · linked to the official source, waiting for a reviewer to confirm it (a factual check against the official source, not a legal review or legal advice)
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.
Verification policy and current standing · a factual check, not legal advice.
No change recorded as of 26 Sep 2026 · official source last checked
On this page 9 sections

In brief

Disclose AI interaction and label synthetic content is a legal requirement under the EU AI Act in the European Union (Article 50). It applies from 2 August 2026. The record carries 1 evidence example and mappings to 2 frameworks. In practice: Implement provenance marking (for example content credentials) and user-facing AI disclosures in product UX.

Instrument
EU AI Act
Jurisdiction
European Union
Nature
Legal requirement
Source reference
Article 50
Applies from
2 August 2026
Who it binds
Provider / developer, Deployer / user organisation
Evidence examples
1
Framework mappings
ISO/IEC 42001:2023, NIST AI Risk Management Framework 1.0
Controls that meet it
2
Official source
Open official text
Verification
Pending review · source-linked

What does it require?

Providers must ensure AI systems intended to interact with people inform them they are dealing with AI unless obvious; providers of systems generating synthetic audio, image, video or text must mark output in a machine-readable, detectable format; deployers of emotion-recognition or biometric-categorisation systems must inform exposed persons; deployers must disclose deepfakes and AI-generated text published to inform the public on matters of public interest, subject to exceptions.

Practical action

Implement provenance marking (for example content credentials) and user-facing AI disclosures in product UX.

Who does it apply to?

Providers and deployers of chatbots, generative systems, emotion recognition and biometric categorisation, whatever the risk tier.

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.

  • satisfiesProcessProduct owner · at launch and on material change
    AI interaction and use disclosure notices

    Serves 18 recorded duties · evidence: AI interaction or use notice, Notice catalogue, Notice wording approval

    User-facing AI interaction notices.

  • satisfiesTechnical measureEngineering lead · continuous
    Synthetic 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 of synthetic output and deepfake labels.

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.

All 10 templates that cover it →

What evidence would a reviewer expect?

Evidence examples
EvidenceTypeNotes
Disclosure and watermarking design recorddocument

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 mappings table
FrameworkReferenceNoteConfidence
ISO/IEC 42001:2023Annex A control on communication with interested partiesOriginal editorial mapping.medium
NIST AI RMF 1.0GOVERN 4.x; NIST AI 600-1 content provenance suggestionsGenerative AI profile guidance on provenance.medium

Frequently asked questions

Is this a legal requirement?

Yes. It is a legal requirement under EU AI Act (Article 50).

Who must comply with this obligation?

Providers and deployers of chatbots, generative systems, emotion recognition and biometric categorisation, whatever the risk tier.

When does this obligation apply?

It applies from 2 August 2026.

What evidence shows compliance?

A reviewer would expect: Disclosure and watermarking design record.

Which frameworks map to this obligation?

It is mapped to ISO/IEC 42001:2023 Annex A control on communication with interested parties, NIST AI Risk Management Framework 1.0 GOVERN 4.x; NIST AI 600-1 content provenance suggestions. These are editorial crosswalks with a stated confidence, not official mappings.

Which controls satisfy this obligation?

AI interaction and use disclosure notices; Synthetic content labelling and provenance marking.

What should an organisation do in practice?

Implement provenance marking (for example content credentials) and user-facing AI disclosures in product UX.

Cite this record

AIPolicyTracker (2026). “Disclose AI interaction and label synthetic content (EU AI Act)” [AIPT-OBL-0017, not yet verified]. https://aipolicytracker.org/id/AIPT-OBL-0017 (accessed 27 October 2026). Data licensed CC BY 4.0.

Permanent id AIPT-OBL-0017: 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_discloseaiinteractionand,
  author       = {{AIPolicyTracker}},
  title        = {{Disclose AI interaction and label synthetic content (EU AI Act)}},
  year         = {2026},
  howpublished = {\url{https://aipolicytracker.org/obligations/eu-ai-act-transparency-article-50}},
  url          = {https://aipolicytracker.org/obligations/eu-ai-act-transparency-article-50},
  urldate      = {2026-10-27},
  note         = {Data licensed CC BY 4.0. Accessed 27 October 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

Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.