EU AI Act compliance
What is the EU AI Act?
The EU AI Act is the world’s first comprehensive AI-specific regulation. It categorizes AI systems based on risk level—ranging from minimal to unacceptable—and enforces requirements based on that classification.
Key risk categories:
- Unacceptable risk: Banned (e.g., social scoring)
- High risk: Requires strict compliance (e.g., AI in hiring, healthcare, law enforcement)
- Limited risk: Requires transparency notices (e.g., chatbots)
- Minimal risk: No obligations
Why it matters in AI/ML
AI systems operating in or interacting with the EU must adhere to the regulation—or face penalties. The act:
- Requires extensive documentation and model testing
- Introduces mandatory risk assessments
- Demands transparency in data use and model outputs
For high-risk systems, non-compliance can lead to fines up to 6% of global annual revenue.
Key requirements for compliance
1. Risk and impact assessment
- Identify whether your system qualifies as high-risk
- Document use case, model inputs, outputs, and potential harms
2. Data governance and quality
- Ensure training data is relevant, representative, and auditable
- Detect and mitigate bias
3. Testing and monitoring
- Implement continuous testing pre- and post-deployment
- Track performance, drift, and explainability
4. Transparency and human oversight
- Provide clear user disclosures
- Maintain the ability for human intervention in automated decisions
Related
- AI compliance and governance
- AI compliance certification
- Model validation
- Data quality monitoring
- Data quality monitoring dashboard
EU AI Act compliance is more than a checklist—it’s a framework for building responsible, high-integrity AI systems.