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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:

    1. Risk management system: Document risks, mitigation measures, and residual risks
    2. Data governance: Ensure training data quality, relevance, and representativeness
    3. Technical documentation: Detailed system description, design choices, and performance metrics
    4. Record keeping: Automatic logging of system operation for traceability
    5. Transparency: Clear user information about the system's capabilities and limitations
    6. Human oversight: Meaningful human control over AI decisions
    7. Accuracy & robustness: Testing for accuracy, security, and resilience
    8. 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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