Maintain an iterative risk file covering identified risks | AIGP
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Maintain an iterative risk file covering identified risks: Which documentation approach best supports risk

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

High-risk risk management should remain documented and iterative, connecting identified risks, mitigations, and operational learning.

The question

A school administrator operates an EU AI Act high-risk admissions system, with the relevant duties explicitly applying. Which documentation approach best supports risk management?

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  1. Maintain an iterative risk file covering identified risks and mitigations.
    High-risk risk management requires an ongoing documented process addressing risks and mitigations across the system lifecycle.
  2. Rely on the supplier’s general risk statement without adding school-specific context.
    Supplier information may help, but deployer context and operational risks require relevant documentation beyond generic statements.
  3. Record the initial risk workshop and archive later operational findings separately.
    A disconnected initial record does not demonstrate the continuing, lifecycle-oriented risk-management process expected for high-risk systems.
  4. Store only incidents that produce measurable admissions errors for annual review.
    Risk documentation should address identified risks broadly, not only realized errors or a single periodic review.
The trap
For high-risk systems, favor connected, updated evidence over static launch paperwork.

How to remember it

High-risk risk management should remain documented and iterative, connecting identified risks, mitigations, and operational learning.

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