Built for transparency workflows
The tool focuses on chatbot notices, AI-generated content labels, deepfake disclosures, and practical compliance-file notes.
Article 50 transparency
EU AI Act Disclosure Generator
Generate practical AI transparency notices for chatbots, AI-generated content, synthetic media, deepfake workflows, and public AI-assisted text. The output includes a short label, long notice, HTML banner, and compliance-file note that your team can review before launch.
Runs in your browser
The current version does not upload your inputs or generated notices. Review and adapt the output before production use.
Pair it with risk triage
If the AI system affects employment, education, healthcare, credit, housing, safety, or rights, run the risk classifier too.
When a disclosure may be useful
- A user is interacting with a chatbot, assistant, or automated advisor.
- Text, image, audio, or video was generated or materially modified by AI.
- Media could be mistaken for a real person, event, voice, or endorsement.
- AI-generated text is published for public-interest or decision-relevant contexts.
Source links
Frequently asked questions
Is the generated notice enough?
It is a first draft. You still need to check the exact product behavior, jurisdiction, user flow, and legal obligations before launch.
Should every AI output be labeled?
The answer depends on the output type, context, and risk of deception. Public and realistic media usually need stronger disclosure.
Can I use the HTML banner directly?
Yes as a starter implementation, but your team should adapt styling, placement, accessibility, and legal wording for the final product.
Disclaimer: AI Compliance Kit provides initial self-assessment tools and educational content.
It does not provide legal advice, certification, or a guarantee of compliance.
Updated review note
Review and responsible-use note
EU AI Act Article 50 Disclosure Generator is maintained as a practical page for AI compliance self-assessment. Use the result to organize internal review, collect evidence, and decide when a qualified legal or compliance specialist should review the system.
What this page is for
It helps users produce a concrete artifact, checklist, or decision note instead of only reading generic advice. The page is written for people comparing options and preparing a real workflow.
What it does not replace
These tools provide operational checklists and first-pass triage, not legal advice, certification, or a guarantee of EU AI Act compliance.
How to verify the result
The highest-risk scenarios on this site are framed as compliance reviews, not as instructions to build or deploy sensitive AI systems. Useful references include EU AI Act official text and European Commission AI Act overview.
Practical value note
How this page supports the site
EU AI Act Article 50 Disclosure Generator gives visitors context about AI Compliance Kit, the workflow boundaries, and how the site's AI compliance review pages should be used. It supports trust by explaining purpose, limitations, contact paths, and review expectations.
Who this is for
EU AI Act Article 50 Disclosure Generator is written for founders, product owners, compliance teams, and operators preparing AI systems for review. It assumes the visitor wants to complete a practical task, not browse a decorative landing page.
What to save
The useful result should be a checklist, report, policy draft, questionnaire, or review note that can be copied, downloaded, printed, compared, or used as a next-step working document.
What to check
The output is an operational preparation aid. It should be reviewed against the actual system, data flow, jurisdiction, and qualified legal or compliance advice before production use. Keep the original source material and record the assumptions used for the generated result.
Use this page to understand the site before relying on any generated output or publishing a changed file, policy, or technical configuration. If the result affects a public page, customer-facing workflow, policy decision, or uploaded file, review one sample manually before repeating the workflow in bulk.