AI scenario checker
AI Content Generator Disclosure Tool
Generative AI tools often trigger transparency and content governance duties, especially when outputs are public or users may misunderstand the source of generated content.
Usually limited-risk, with extra review for consequential sectors.
Who this checker is for
Marketing teams, creator tools, agencies, SaaS founders, and product teams building generative AI features.
Risk signals to check
Use this page as a scenario-specific starting point. The prefilled checker turns these signals into the underlying EU AI Act questionnaire and keeps every answer editable.
- The system generates public-facing content.
- Users may need disclosure that content was AI-generated.
- Outputs may mislead users, impersonate people, or create harmful claims.
- The tool may be used in healthcare, employment, education, credit, or legal workflows.
Launch review workflow
Treat the first result as a launch-readiness conversation, not a final legal answer. The practical goal is to make the use case, affected people, oversight route, and evidence trail visible before the product ships.
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Define the decision point
Write down whether the system only assists with marketing copy generator or changes access, ranking, priority, pricing, eligibility, or review.
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Map affected people
List who sees the output, who is affected by it, and whether the system is offered in the EU market or used for EU users.
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Check human oversight
Decide where a trained person can review, override, explain, or stop the AI output before it creates a material impact.
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Collect launch evidence
Start with AI content disclosure notice, then keep the risk result, key assumptions, reviewer notes, and user-facing disclosures together.
Documents to prepare
A useful first pass is not only a risk label. Teams should also collect the working notes that a reviewer, customer, investor, or internal launch owner will ask for.
- AI content disclosure notice
- Content policy and prohibited use list
- Model/provider record
- Output limitation statement
- Human review guidance for sensitive content
Run the scenario through the tool
The checker will prefill likely answers for this scenario, generate a preliminary risk result, and produce a practical report with recommended next steps.
Start with this scenarioCommon review questions
Generative AI tools often trigger transparency and content governance duties, especially when outputs are public or users may misunderstand the source of generated content
The system generates public-facing content.
AI content disclosure notice; Content policy and prohibited use list; Model/provider record
Frequently asked questions
Does every AI-generated blog post need a label?
Disclosure duties depend on context, but public-facing generative systems should have clear transparency and provenance controls.
Can a content generator become high-risk?
Yes, if it is used inside a high-risk sector or materially affects rights, access, eligibility, or safety.
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