EU AI Act Transparency Workspace

Art. 50 disclosure generator

Generate the notice before first interaction or exposure.

Choose one scenario and copy the short or long form into the user interface, content label, or publication note.

Scenario Chatbot Direct interaction with natural persons. AI-generated content Synthetic or manipulated text, audio, image, or video. Emotion or biometric Emotion recognition or biometric categorisation. Deepfake Image, audio, or video that appears real but is AI-generated or manipulated.

System or service name Purpose or context Content format Responsible contact

Short notice

Short disclosure

Long notice

Long disclosure

Inventory and indicative risk class

Maintain an AI-use register with an explainable risk flag.

The classifier is a practical triage helper. It does not replace legal review or provider conformity evidence.

AI system Provider Purpose Data used Oversight owner

Risk questionnaire

Prohibited practice flag High-risk domain Transparency trigger Materially influences a decision, access, ranking, or safety outcome Profiles natural persons in a high-risk domain

Minimal risk

No high-risk or transparency trigger selected.

System	Provider	Purpose	Risk	Data	Oversight owner	Actions

No systems yet. Add at least one AI system before printing or exporting.

Human oversight record

Document who monitors the systems and how intervention works.

Use this record for internal governance evidence and as the printable oversight attachment.

Systems covered Responsible person Review cadence Last review date Next review date Oversight measures Escalation and intervention path Evidence retained Notes

Workspace status

systems

high/prohibited

Art. 50 frame

Tell people when they interact directly with an AI system unless obvious.
Mark synthetic or manipulated content where applicable.
Inform people exposed to emotion recognition or biometric categorisation.
Disclose deepfakes and public-interest AI text where required.

Official EUR-Lex text

Self-tests

Not run

Disclaimer

This tool assists composition and internal records. It is not legal advice, and the risk class is indicative.

About the EU AI Act Transparency & AI-Use Register

Organizations deploying specific artificial intelligence systems within Europe must publicly disclose their use and manage inherent operational risks. Building an EU AI Act transparency register ensures continuous legal compliance and fosters necessary public trust regarding automated decision-making. Compliance managers can swiftly log AI system details, assign mandatory risk classifications, and generate Article 50 transparency notices for public-facing deployments.

How it works

Inventory the AI system by recording its purpose, provider, and deployment environment.

Determine the system's risk tier (Unacceptable, High, Limited, or Minimal risk).

Draft the mandatory transparency notice required for systems interacting with humans or generating deepfakes.

Maintain the continuous AI-use register to document human oversight protocols and operational changes.

Frequently asked questions

Which AI systems require explicit transparency notices under Article 50?

Transparency notices are required for AI systems that interact directly with natural persons (like chatbots), emotion recognition systems, biometric categorization systems, and systems that generate or manipulate image, audio, or video content (deepfakes).

Do internal administrative AI tools need to be added to the register?

Yes, a comprehensive AI-use register should inventory all AI systems deployed by the organization to accurately assess risk classifications, even if minimal-risk tools do not require public transparency notices.

What information must a transparency notice contain for a deepfake?

The notice must clearly and conspicuously state that the content has been artificially generated or manipulated, ensuring the user is immediately aware they are not interacting with authentic media.

Who holds the responsibility for maintaining the AI-use register, the developer or the deployer?

The deployer (the organization using the AI system in a professional capacity) is primarily responsible for maintaining the operational register and ensuring transparency notices are delivered to end-users.