Why Developers Need to Care
The EU AI Act is not just a legal concern — it has direct implications for how you build, test, and deploy AI systems. If your product serves EU users, you need to understand the technical requirements.
Step 1: Classify Your AI System
Determine which risk category your AI system falls into:
- Unacceptable risk: Banned (social scoring, manipulative AI, untargeted facial recognition)
- High risk: Healthcare diagnostics, hiring tools, credit scoring, law enforcement
- Limited risk: Chatbots, content recommendation, image generation
- Minimal risk: Spam filters, AI-enhanced games, search optimization
Step 2: Technical Requirements for High-Risk Systems
- Maintain comprehensive technical documentation
- Implement logging and audit trails for all AI decisions
- Conduct bias testing across protected categories
- Enable human oversight and override mechanisms
- Perform regular accuracy and performance assessments
Step 3: Transparency Obligations
All AI systems interacting with users must clearly disclose they are AI. Generated content (text, images, audio, video) must be labeled as AI-generated using machine-readable metadata.
What's at Stake
Fines up to €35 million or 7% of global annual turnover. The European AI Office has begun conducting preliminary audits of major tech companies.
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