1. Risk Classification
The EU AI Act categorizes AI systems into four tiers: unacceptable, high‑risk, limited‑risk, and exempt. Identifying the tier determines the regulatory obligations.
2. Documentation Requirements
Required documentation includes :
• Functional and technical description
• Privacy impact assessment
• Risk mitigation plan
• Performance and robustness metrics.
3. Sample Risk‑Classification Matrix (TypeScript)
// Simple risk matrix example – TypeScript
const riskMatrix: Record<string, string[]> = {
high: ["biometrics", "recruitment"],
medium: ["image recognition", "text analysis"],
low: ["chatbot", "recommendation"]
};
console.log(riskMatrix);4. Building a Compliance Timeline
A typical 12‑month roadmap :
• Months 1‑2 : Inventory & classification
• Months 3‑5 : Documentation creation
• Months 6‑8 : Compliance testing & internal audits
• Months 9‑10 : Team training
• Months 11‑12 : Final validation & production rollout.
5. Practical Checklist
- Catalogue all deployed AI solutions
- Assess each system’s risk level under the AI Act
- Produce technical and regulatory documentation
- Maintain a compliance register
- Schedule internal and external audits
- Train stakeholders on AI Act obligations
- Document incident‑response procedures
6. Additional Resources & Training
Deep‑dive into our Governance IA & RGPD course, which also covers EU AI Act compliance in detail.