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AI Transparency Checker

Review AI disclosure and marking tasks locally.

AI transparency workspace

Answer questions to see separate Article 50 findings update live. Unknown answers remain visible.

Article 50 transparency screening based on your answers. This is not a full AI Act classification, legal assessment or compliance certification. Implemented means self-reported, not verified. Other AI Act and data-protection duties may apply. Special law-enforcement, standard-editing and artistic exceptions need separate review.

Your use case

Providers develop or have an AI system developed and place it on the market or put it into service under their name. Deployers use an AI system under their authority, excluding personal non-professional use. Official role definitions.

Direct interaction

Consider a reasonably well-informed, observant and circumspect person, not only your team.

Synthetic content

A visible notice alone does not establish machine-readable marking.

Deepfakes

Consider content that resembles real people, objects, places, entities or events and could falsely appear authentic.

Public-interest text

The text exception needs both this responsibility and human review or editorial control.

Biometrics and emotion
Sensitive decisions

Live findings

0 review recommended · 6 unknown · 0 self-reported · 0 not applicable

Direct-interaction disclosure

Unknown

Your operator role is unknown; this duty is assigned to the provider.

Next step: Establish whether you provide, deploy or perform both roles before relying on this finding.

Official source: Article 50(1), (5)

Machine-readable synthetic marking

Unknown

Your operator role is unknown; this duty is assigned to the provider.

Next step: Establish whether you provide, deploy or perform both roles before relying on this finding.

Official source: Article 50(2)

Biometric and emotion exposure notice

Unknown

Your operator role is unknown; this duty is assigned to the deployer.

Next step: Establish whether you provide, deploy or perform both roles before relying on this finding.

Official source: Article 50(3), (5)

Deepfake disclosure

Unknown

Your operator role is unknown; this duty is assigned to the deployer.

Next step: Establish whether you provide, deploy or perform both roles before relying on this finding.

Official source: Article 50(4), (5)

Public-interest text disclosure

Unknown

Your operator role is unknown; this duty is assigned to the deployer.

Next step: Establish whether you provide, deploy or perform both roles before relying on this finding.

Official source: Article 50(4), (5)

Further review for sensitive decisions

Unknown

Whether the AI affects one or more sensitive decision areas is unknown.

Next step: Confirm how outputs influence people and arrange a separate risk-classification review where appropriate.

Official source: Article 50(6)
Build an evidence checklist

Select the relevant use cases there. This link does not carry your answers.

Copy or download the answers and all six findings.

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Questions

Does a green result prove compliance?

No. Findings reflect your answers within a narrow transparency scope. They do not inspect your application or certify compliance.

Are all publicly published AI texts treated the same?

No. The decision tree distinguishes public-interest publication and human review or editorial control with editorial responsibility. Confirm the actual context against Article 50.

What if I do not know my role?

Choose Unknown. Role-dependent findings stay uncertain and explain which provider or deployer responsibilities to investigate.

Where can I check the applicable rules?

Use the official sources linked in Learn and Reference. Applicable requirements depend on the product, AI system, operator role and actual use.