# EU AI Act Final Transparency Guidelines: How Should AI Content Be Labelled?

Source page: https://aibiztest.com/en/posts/eu-ai-act-transparency-content-labeling-2026/
Language: en
Last reviewed: 2026-07-20

## Standard answer

The European Commission published its final Article 50 transparency guidelines on July 20, 2026, ahead of the rules applying from August 2. Where a professional deployer must disclose a deepfake, the disclosure is due by first exposure at the latest and must be clear and perceivable; an embedded machine-readable mark does not replace human-facing notice. The exception for public-interest text can depend on substantive human review or editorial control plus ultimate editorial responsibility. Spelling and grammar checks alone are not enough.

## Six operating boundaries

- Regular economic benefit or business, trade, occupational, or freelance use may make an operator a professional deployer; purely personal, non-professional use is generally outside that definition.
- A deepfake assessment combines strong resemblance, an existing or plausible subject, and a false appearance of authenticity or truth.
- A required deepfake disclosure should be visible or audible by first exposure.
- Public-interest text must be published, inform the public, and concern a matter of public interest.
- Substantive human review is not spell-checking; an editor must be able to approve, alter, or reject the substance, with ultimate responsibility assigned.
- The Commission’s quick facts list company fines of up to €15 million or 3% of worldwide annual turnover, with proportionality for SMEs; applicability requires professional review.

## Five-to-ten-asset minimum test

Test one content type. For each asset, record the AI tool, real source material, rights, human edits, realism or public-interest risk, visible disclosure, machine marking, reviewer, and takedown path. The site’s 93/100 internal editorial score is a topic-selection method, not an industry, legal, or compliance benchmark.

## Stop-loss signals

Stop scaling if you cannot explain the boundary between AI and real source material; claim substantive review after only spelling checks; rely only on hidden machine marking where visible disclosure is required; depend on synthetic celebrities, fake news, false testimonials, or exaggerated product effects; or cannot identify the responsible reviewer and takedown path.

## Data Boundary

This summary uses European Commission materials for risk analysis and is not legal advice. The site has no EU enforcement, fine, platform-review, account, conversion, revenue, ranking, or indexing data. Sitemap, AI-readable assets, and IndexNow do not prove indexing, ranking, or AI citation.