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Lesson 2 of 5
The EU AI Act: A Comprehensive Guide
From the course AI Governance & Compliance
The EU AI Act is the world's first comprehensive AI regulation. It took effect in stages from 2024-2026 and serves as a template for global AI regulation.
Risk-Based Classification
The Act classifies AI systems into four risk tiers:
Unacceptable risk (banned):
- Social scoring by governments
- Real-time biometric surveillance in public spaces (with limited exceptions)
- Subliminal manipulation causing harm
- Exploitation of vulnerable groups
High risk (heavily regulated):
- Biometric identification systems
- Critical infrastructure management
- Education and vocational training (admissions, grading)
- Employment (recruitment, promotion, termination)
- Essential services access (credit scoring, insurance)
- Law enforcement and justice
- Immigration and border control
Limited risk (transparency obligations):
- Chatbots (must disclose AI nature)
- Deepfakes (must be labeled)
- Emotion recognition systems (must inform users)
Minimal risk (no requirements):
- AI-enabled video games
- Spam filters
- Most general-purpose AI applications
Requirements for High-Risk AI
Organizations deploying high-risk AI must:
- Risk management system: Document risks, mitigation measures, and residual risks
- Data governance: Ensure training data quality, relevance, and representativeness
- Technical documentation: Detailed system description, design choices, and performance metrics
- Record keeping: Automatic logging of system operation for traceability
- Transparency: Clear user information about the system's capabilities and limitations
- Human oversight: Meaningful human control over AI decisions
- Accuracy & robustness: Testing for accuracy, security, and resilience
- Conformity assessment: Third-party or self-assessment before market placement
General-Purpose AI (GPAI) Rules
Foundation models like GPT-4 and Gemini have specific obligations:
- Technical documentation and training data summaries
- Copyright compliance policies
- Models with "systemic risk" (>10^25 FLOPs training compute) face additional requirements: adversarial testing, incident reporting, cybersecurity measures
Penalties
- Up to €35 million or 7% of global turnover for using banned AI practices
- Up to €15 million or 3% for non-compliance with other provisions
- Up to €7.5 million or 1.5% for providing incorrect information
Key Takeaways
- •The EU AI Act classifies AI by risk level: unacceptable, high, limited, and minimal
- •High-risk AI requires risk management, data governance, documentation, and human oversight
- •Foundation models face specific obligations; those with systemic risk face additional requirements
- •Penalties reach up to €35 million or 7% of global turnover
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