Risk management: Which set of obligations does the EU AI Act | AIGP
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Risk management: Which set of obligations does the EU AI Act impose on high-risk AI systems?

AIGP Understanding How Laws, Standards and Frameworks Apply to AI Easy

High-risk AI systems must meet obligations including risk management, data governance, technical documentation, and record-keeping.

The question

Which set of obligations does the EU AI Act impose on high-risk AI systems?

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  1. Only a brief transparency notice telling users that the content is AI-generated.
    Plausible but wrong: a transparency notice alone is a limited-risk obligation; high-risk systems face a much broader set of controls.
  2. Risk management, data governance, technical documentation and record-keeping. ✓
    Correct: high-risk systems must implement risk management, data governance, technical documentation, logging/record-keeping, transparency, human oversight, and accuracy and robustness measures.
  3. Mandatory open-sourcing of the model's weights and its full training code.
    Plausible but wrong: the Act does not require open-sourcing model weights or training code for high-risk systems.
  4. A blanket prohibition on placing the system on the EU internal market.
    Plausible but wrong: high-risk systems are permitted subject to obligations; only unacceptable-risk practices are banned outright.
The trap
Mixing up high-risk obligations with the transparency-only duties of limited-risk systems or the ban on prohibited practices.

How to remember it

High-risk AI systems must meet obligations including risk management, data governance, technical documentation, and record-keeping.

How many of these would you get right?

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