Specification · 1.3.1
Specification
A level is a self-declaration. It does not certify accuracy, quality, rights, or legal compliance.
Specification
Decision procedure
Five questions, asked in order. The first one that terminates gives the level.
-
Was any generative AI used in making this work?
- Yes
- next
- No
- 0
-
Did AI produce new material that appears in the published work — beyond mechanically processing what you had already made?
- Yes
- next
- No
- 1
-
Did you make most of the final form yourself — most of the words, pixels, or sound?
- Yes
- 2
- No
- next
-
Is the substance yours — the knowledge, the data, the argument, the direction?
- Yes
- 3
- No
- next
Surfaces
Optional. A single number describes the work as a whole. When parts of it differ sharply, declare them. The badge always shows one number; the breakdown lives behind the link.
Headline rule. The headline level describes the part of the work that carries its meaning. Decorative material that a reasonable audience would not consider material to the work does not drive the headline — declare it here instead.
Recognised surfaces: textimageaudiovideocodedata
JSON
{
"aiUsageScale": "1.0",
"level": 3,
"surfaces": { "text": 3, "image": 5, "audio": 0 }
} Edge cases
Every one of these came from trying to break the decision tree. They are settled here so that two honest people reach the same number.
- Translation
-
A faithful translation inherits the level of the source work and adds a translation note. Translating a Level 1 article with a model publishes it as Level 1, translated by AI.
The substance and structure are unchanged. Penalising translation would make the world's writing less available, which is the opposite of the point.
- Transcription
-
Transcribing speech you recorded is mechanical processing. It does not raise the level.
The words are yours. The model only wrote them down.
- Substance from AI, wording from you
-
If a model originated the substance that materially determines what the work says — the thesis, the argument, the structure — it produced new material that survives into the work, even if you wrote out every word yourself. That is Level 2 or above, never Level 1. Feedback, critique, and fact-finding you verified stay Level 1: an editor's advice does not make the editor an author.
Ideas are material. Restating them in your own words does not un-invent them — and Level 1's promise that the model invented nothing has to mean it.
- Decorative assets
-
A generated header image on a human-written article does not make the article Level 4. Declare the image under Surfaces.
The headline level describes what carries the meaning. Otherwise one stock image would swallow the whole declaration, and people would simply stop declaring.
- Derivative works
-
Declare the level of your own contribution, and cite the level of the source if it declared one.
- Live generation
-
Content generated on demand and shown to a user without review is Level 5, even if the system prompt was written carefully by a person.
- Non-generative machine learning
-
Autofocus, denoise, upscaling, colour matching, and classification that invent nothing are not generative AI. They do not move you off Level 0.
If you doubt a declaration
A declaration is falsifiable in public. Check the link and the metadata; compare the declared level against the work and, where they differ, against the Surfaces breakdown; then ask the author — in a comment, a review, an issue. Most mismatches are honest readings of a boundary, and the edge cases above settle most of those.
If a declaration is knowingly false, the standard's answer is the one that scales: the claim was public and linkable, and now it is falsified in public. There is no detector and no registry here, on purpose — reputation is the enforcement, exactly as it is for a byline.
Interoperability
Mappings to other vocabularies are suggestions. They do not imply endorsement or support by Google, Schema.org, W3C, IPTC, or C2PA.
W3C AI Content Disclosure Community Group
The Community Group report approved for publication on 9 October 2026 describes text using human-only, ai-assisted and ai-autonomous. It is not a W3C Recommendation. These are conditional, text-only mapping candidates, not a lossless correspondence: Levels 1 and 2 need additional scope/review information, and the Level 3 candidate requires the review in its full definition. Generic scale snippets omit a CG declaration; assess it independently against the report classification procedure. No endorsement is implied.
IPTC Digital Source Type NewsCodes
Suggested, medium-dependent mappings to the IPTC Digital Source Type vocabulary. The mapping cannot preserve the distinctions between Levels 3, 4 and 5. An AI-assisted text does not automatically qualify as algorithmicallyEnhanced media; choose the IPTC term against the actual asset and its processing history. No IPTC or C2PA endorsement is implied.
C2PA / Content Credentials
Complementary, not competing. C2PA provides tamper-evident, signed provenance about an asset and its processing history. Its core specification does not attribute content to individuals or organisations, and provenance alone cannot determine whose thinking shaped a work. This scale is a declaration about contribution and review, designed to work for web text as well as media files.
EU AI Act (Regulation (EU) 2024/1689), Article 50
Article 50 distinguishes provider marking duties from deployer disclosure duties. Human review or editorial control together with editorial responsibility can affect the public-interest text obligation. A level alone cannot determine legal scope, an exemption, or compliance. Suggested EU icon mappings are illustrative, not official equivalences.
Schema.org and project-defined JSON-LD
DefinedTermSet and DefinedTerm can describe the vocabulary. aiUsageLevel is a project-defined property mapped to https://usagescale.org/spec#aiUsageLevel in an explicit JSON-LD context. The legacy schemaOrgAiUsageLevel mapping field is retained for compatibility; it is not a registered Schema.org property or a supported Google Search feature.
Level mapping
| # | Text disclosure candidate | IPTC candidate |
|---|---|---|
| 0 | human-only | digitalCreation |
| 1 | Check scope and review | algorithmicallyEnhanced |
| 2 | Check scope and review | compositeWithTrainedAlgorithmicMedia |
| 3 | ai-assisted | trainedAlgorithmicMedia |
| 4 | ai-assisted | trainedAlgorithmicMedia |
| 5 | ai-autonomous | trainedAlgorithmicMedia |
A level is a self-declaration. It does not certify accuracy, quality, rights, or legal compliance.
The Community Group's 9 October 2026 report uses
human-only, ai-assisted and ai-autonomous for text.
Levels 1 and 2 do not determine a value without the text's scope and actual review state.
A Level 3 candidate requires the meaningful review in its full definition. Generic scale
snippets omit the separate CG declaration so that publishers can assess it independently.
Machine-readable form
The canonical English definitions live in one file and drive the badges and machine-readable output. Localised explanatory copy is maintained separately and checked for structural parity.
Mappings to other vocabularies are suggestions. They do not imply endorsement or support by Google, Schema.org, W3C, IPTC, or C2PA.
GET /levels.json · CC0
HTML
<meta name="ai-usage" content="3">
<meta name="ai-usage-standard" content="https://usagescale.org">
<link rel="ai-disclosure" href="https://usagescale.org/3"> Keep the link to the public definition. Add optional metadata when your publishing system supports it.
JSON · /.well-known/ai-disclosure.json
{
"aiUsageScale": "1.0",
"level": 3,
"surfaces": { "text": 3, "image": 0 },
"definition": "https://usagescale.org/3"
} Project-defined JSON-LD property
https://usagescale.org/spec#aiUsageLevel identifies this project's
proposed integer property, with values 0–5. Map it explicitly in a JSON-LD context.
It is not a property in the Schema.org vocabulary, and Google Search has no
documented feature for displaying these levels. additionalProperty
does not have CreativeWork in its published domain and is not the pattern we recommend.
The optional /.well-known/ai-disclosure.json location is also a project convention;
it is not a registered well-known URI or a discovery guarantee. It describes a publisher's
declared scope, not a verified process.
Prior art
Nothing here is unprecedented, and pretending otherwise would be its own small dishonesty.
AI Assessment Scale (AIAS)
AIAS describes permitted AI use in assessments. AI Usage Scale describes reported AI use in a completed work. The frameworks serve different purposes.
Creative Commons
The separation between a public mark, a human-readable explanation and machine-readable data informs this project.
Human Provenance in Film
A separate disclosure initiative for film. Consult its own definitions rather than treating its labels as equivalent to these levels.