Who led the work?
Ideas, editorial choices, message and publication can remain human-led even when AI helps with wording, images or structure.
AI TRANSPARENT LABEL · ORIGIN · AI ROLE · HUMAN REVIEW
AI TRANSPARENT LABEL – show how content was made
More useful than a simple “AI” or “no AI” tag: a readable statement of origin and responsibility.
A useful AI label should not pretend to certify quality. It should briefly explain the human role, where artificial intelligence contributed and whether a person reviewed the result before publication.
What did AI do?
Research assistance, correction, image editing, drafting and full generation are different interventions. A useful label should not hide them behind one vague category.
Who reviewed it?
Human review is information in its own right. It does not prove that a claim is true, but it makes responsibility and workflow easier to understand.
A transparency label is not a quality seal
The boundary matters: a provenance label can describe the production process, but it cannot prove truth or quality. A fully human-written article can be wrong; an AI-assisted article can be carefully checked. Transparency answers a different question: how was this result produced?
For that reason this project avoids claims such as “certified truth”, “official EU label” or guaranteed accuracy. The label is a voluntary disclosure intended to add context for readers, not make their judgement for them.
Two layers of transparency: visible and technical
People need a clear disclosure close to the content. Machines can additionally process provenance data. These layers complement each other: a visible notice helps immediately, while technical provenance can record tools and editing steps.
The C2PA standard follows this technical direction. Content Credentials can carry information about how a digital asset was created or changed. That is more informative than reducing a complex workflow to a single “AI yes/no” flag.
EU AI Act: labelling is now a concrete regulatory topic
Transparency duties under Article 50 of the EU AI Act have applied since 2 August 2026. They do not impose the same label on every use of AI. The framework includes machine-readable marking obligations for providers of certain generative systems and visible disclosure duties in specific cases, including deepfakes and certain AI-generated or manipulated text on matters of public interest.
The European Commission also provides optional icons for labelling AI-generated content. They can help with presentation but do not by themselves establish legal compliance. AI Transparent Label is an independent project and is not an EU mark.
What a useful AI label should answer
Readers usually benefit more from five concrete answers than from a wall of technical language:
- Who had the idea and editorial control?
- Which parts were generated or altered with AI?
- Was the result reviewed by a human?
- Are further provenance or editing records available?
- Is the disclosure self-declared, technically recorded or externally assessed?
Human Original
The content is essentially human-created; digital tools are mainly used for correction, formatting or technical refinement.
Human Led
A human sets the message and direction. AI supports selected steps such as outlining, variants, translation or wording.
AI Assisted · Human Verified
AI creates substantial parts. A human reviews the result, decides whether to publish and remains identifiable as the responsible party.
Frequently asked questions
Must all AI content be labelled?
No. Legal duties depend on the system, the role of the actor, the type of content and the use case. Voluntary transparency can go further than the legal minimum.
Does a label prove that content is authentic?
No. A visible label is first of all information. Technical provenance such as Content Credentials can add verifiable origin data, but it does not automatically verify the truth of the message.
Why not simply write “made with AI”?
Because that phrase collapses very different workflows. Spell-checking, an AI suggestion, a generated illustration and a fully generated article are not the same thing.
Is AI Transparent Label a certification?
No. It is an independent information and labelling initiative, not a public authority, accredited certification body or law firm.
Sources and related standards
This page summarises public primary sources in original wording rather than copying them. Particularly relevant are:
Part of the Human-AI project network
AI Transparent Label focuses on practical disclosure. Sister projects cover the broader idea, the visible Human AI Label and extended transparency documentation.
Our own transparency disclosure
Version 1.02 was formulated with AI. Topic selection, source selection, objectives, editorial choices and publication are determined and approved by the operator. Sources were paraphrased and synthesised rather than copied.
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This statement concerns the wording of this version. It is a voluntary self-disclosure, not certification. The technical foundation comes from the existing NET-WEB Human-AI system; the main content was newly written for ai-transparent-label.com to serve a distinct search and information purpose.
Version 1.03 · 12. August 2026
Comments and expert criticism welcome
Corrections, additions and notes about transparency standards can be sent directly to the project.
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