Evergreen

AI-Generated Asset Publication Gate Record

Every AI-generated text, image, code, or interactive asset needs a named owner, source and generation trail, truth review, rights and consent review, privacy review, secu

Aug 4, 20262 min readBy Dalton Anderson
In this article

AI-Generated Asset Publication Gate Record

Common release gate

Every AI-generated text, image, code, or interactive asset needs a named owner, source and generation trail, truth review, rights and consent review, privacy review, security and abuse review, accessibility review, provenance and disclosure review, final-channel test, and version-specific approval.

Visual polish, a watermark, a disclosure, a Content Credential, or a model's self-assessment cannot replace the gate.

Modality map

AreaTextImageCode or interactive artifact
TruthClaims, quotes, citations, datesDepicted event, labels, contextOutputs, calculations, states, interface claims
RightsSources, quotations, licensed materialInputs, likeness, style, logo, assetsCode, dependencies, data, licenses
ConsentNamed people and sensitive storiesLikeness and private settingsCollected data and communications
PrivacyPersonal or confidential detailsMetadata and visual identifiersLogs, storage, transmission, secrets
SecurityHarmful enablement or fraudDeceptive and abusive useTrust boundaries, validation, auth, dependencies
AccessibilityStructure, links, language, tablesAlt text, contrast, text alternativesKeyboard, semantics, focus, errors, status
ProvenanceSources and revision recordGeneration, edit record, credentialsRepository, build, version, changes

Source roles

NIST AI 600-1 supports task, assumption, lineage, limitation, human-oversight, and evaluation records.

The Copyright Office AI hub is a current United States copyright source. It does not resolve privacy, publicity, contract, trademark, labor, biometric, consumer-protection, sector, or cross-border requirements.

OWASP supports qualified secure-code review. WCAG 2.2 supplies cited web-accessibility requirements. C2PA supplies current Content Credentials specifications and related guidance.

Provenance boundary

A valid Content Credential can provide signed assertions and asset-integrity evidence under a trust model. It does not prove event truth, consent, rights, ethical use, or completeness. A missing credential does not prove synthetic origin.

SynthID is a Google implementation referenced in current image-model documentation. It is not a universal proof of origin or permission.

Release boundary

Approval is tied to an exact asset version and final channel. Regeneration or material editing reopens the applicable reviews. The owner must define monitoring, correction, withdrawal, and evidence retention before release.

Sources

Follow the evidence.

  1. Gemini API changelogai.google.dev
  2. ai.google.dev: image generationai.google.dev
  3. ai.google.dev: modelsai.google.dev
  4. blog.google: google gemini ai update december 2024blog.google
  5. blog.google: gemini collaboration featuresblog.google
  6. cheatsheetseries.owasp.org: Secure Code Review Cheat Sheetcheatsheetseries.owasp.org
  7. daltonanderson.ghost.io: googles new ai gemini canvas consistent image modelsdaltonanderson.ghost.io
  8. NIST Generative AI Profilenvlpubs.nist.gov
  9. open.spotify.com: 4O0DCv9Na8StBZnoXJlZ1bopen.spotify.com
  10. policies.google.com: use policypolicies.google.com
  11. spec.c2pa.org: aboutspec.c2pa.org
  12. Gemini Apps Privacy Hubsupport.google.com
  13. support.google.com: 16047321support.google.com
  14. workspaceupdates.googleblog.com: introducing canvas for the gemini appworkspaceupdates.googleblog.com
  15. copyright.gov: aicopyright.gov
  16. daltonanderson.net: googles new ai gemini canvas consistent image modelsdaltonanderson.net
  17. w3.org: WCAG22w3.org
  18. youtu.be: qoGIyz0azwwyoutu.be

From this episode

Two useful next steps.

Evergreen · 1 min

What Gemini Canvas Is and When to Use It

Gemini Canvas is an editable workspace inside Gemini Apps for documents, apps, slides, and code. Learn how it differs from chat, APIs, and production tools.

Guide · 1 min

How to Review AI-Generated Assets Before Publishing

Review AI-generated text, images, and code for truth, sources, rights, consent, privacy, security, accessibility, provenance, approval, and final-channel behavior.

Return to the episode