# EU AI Act Category Checker | consultancy.llmnet.nl

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# EU AI Act category checker

 By Ivo Donker - 6 August 2026

 
 🔒 100% Client-side: No data ever leaves your device. All calculations take place locally in your browser.
 

 
 
 
 Progress
 Question 1 of 4
 
 
 
 
 

 
 
 
## Step 1: What is your role in this AI application?

 Obligations under the EU AI Act differ significantly depending on your organization's role in the value chain.

 
 
 
 
 Provider
 You develop an AI system (or have it developed) and place it on the market under your own name, or put it into your own use.
 
 
 
 
 
 Deployer
 You deploy an AI system within a professional or business context under your own responsibility.
 
 
 
 
 Next question →
 
 

 
 
 
## Step 2: Does the system involve a prohibited practice?

 The AI Act prohibits certain applications that pose an unacceptable risk to safety and fundamental rights.

 
 
 
 
 Yes, it falls under one of the prohibited practices
 For example: social scoring, cognitive/behavioral manipulation that causes harm, untargeted scraping of facial images, or emotion recognition in the workplace or in education.
 
 
 
 
 
 No, none of these prohibited practices apply
 The system does not use any of these specific prohibited functionalities.
 
 
 
 
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## Step 3: Does the system fall under high-risk applications?

 Systems used in critical domains or as a safety component of regulated products.

 
 
 
 
 Yes, the system falls under a high-risk category
 For example: safety component in medical/industrial equipment, or use in biometric identification, critical infrastructure, educational assessment, recruitment & selection/HR management, creditworthiness/essential services, law enforcement, migration, or the administration of justice.
 
 
 
 
 
 No, it falls outside these specific high-risk domains
 The system is not used for decision-making in these sensitive societal domains.
 
 
 
 
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 Next question →
 
 

 
 
 
## Step 4: Is there a specific transparency obligation?

 Questions concerning interaction with people or the generation of synthetic media.

 
 
 
 
 Yes, the system interacts with people or generates/manipulates media
 For example: chatbots, voicebots, generating images, audio, or video (deepfakes), or biometric categorization (insofar as not prohibited).
 
 
 
 
 
 No, no direct human interaction or media generation
 The system operates behind the scenes (e.g., internal data analysis, spam blocking, or inventory optimization).
 
 
 
 
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 Explicit disclaimer: This tool provides an indicative first assessment based on the answers entered. It does not constitute formal legal advice. To determine exactly which specific legal requirements apply to your situation, tailored guidance and a thorough legal & compliance audit are required.
 

 
 Start over
 
 
 

 
 
## How risk categories and roles work under the EU AI Act

 The European AI Regulation (EU AI Act) introduces a risk-based approach to regulating artificial intelligence within the European Union. The underlying principle is that regulatory pressure and obligations increase proportionally with the potential risk of harm the AI application poses to citizens' safety, health, or fundamental rights.

 
### The four risk categories at a glance

 
 
- Prohibited practices (Unacceptable risk): AI applications that pose a clear threat to human rights or safety. These include government social scoring, harmful behavioral manipulation, untargeted scraping of facial images, and emotion recognition in the workplace and educational settings.
 
- High risk: AI systems deployed in critical sectors such as healthcare, biometric identification, infrastructure management, education, recruitment & HR management, and access to essential services. Strict quality and transparency requirements apply here.
 
- Transparency obligation: Systems with a specific transparency risk, such as chatbots that communicate directly with people or AI models that generate synthetic media content (such as deepfakes). Users must be explicitly informed about the use of AI in these cases.
 
- Minimal risk: Applications such as spam filters, AI in video games, or simple recommendation systems. No additional legal obligations apply to this category under the regulation.
 

 
### Why the role (Provider vs. Deployer) is crucial

 When determining your obligations, it's not enough to look only at the category of the system. The EU AI Act draws a strict legal distinction between the Provider and the Deployer:

 A Provider is the party that develops the AI system (or has it developed) and places it on the market or puts it into use under its own brand name. Providers carry the heaviest set of obligations: among other things, they must set up risk management systems, ensure data governance, draw up technical documentation, carry out conformity assessments, and affix the CE marking.

 A Deployer is the organization that deploys an externally sourced or provided AI system within its professional activities. Their task lies primarily in correctly applying the system according to the provider's instructions, setting up human oversight during operational use, and monitoring any risks in the workplace.

 
### Integration into your organization and governance

 Determining the category is the first step in responsible implementation. For organizations deploying AI solutions, building a structural [AI governance for SMEs](/en/ai-governance-mkb) is essential to guarantee compliance and operational continuity.

 For high-risk AI applications, a prior [AI risk analysis and DPIA](/en/ai-risicoanalyse-dpia) is also often required to identify potential impact on fundamental rights and privacy in good time. To give employees clear guidelines on what is and isn't permitted, establishing an internal [AI policy](/en/ai-beleid-opstellen) is essential. Also make sure that agreements with external software vendors are clearly contracted.

 For extensive background on the structure of the legislation, you can also [EU AI Act explanation on nieuws.llmnet.nl](https://nieuws.llmnet.nl/en/eu-ai-act-uitleg) is worth consulting.

 
 

 
 © 2026 llmnet.nl · Ivo Donker
