Risk assessment

Learn how to perform structured risk assessments for AI systems.

Risk assessment is the core of your EU AI Act documentation. SimpleAct assigns each system to an appropriate risk class using a structured questionnaire.

Information

The classification is rule-based and depends on your answers. Precise wording around use context and impact is therefore essential.

The three assessment blocks

Section A: High-risk triggers

Checks sensitive areas such as employment, credit, health, or other legally relevant decisions.

Section B: Limited-risk triggers

Checks transparency duties, for example for chatbots, generated content, or end-user interaction.

Section C: Usage context

Captures autonomy level, internal or external effect, and the concrete use context.

  1. 1

    Select system

    Start the assessment from an already captured inventory entry.

    • Select the system in the inventory
    • Review the use context
    • Check previous assessments
  2. 2

    Answer high-risk triggers

    Assess potential impacts on people, rights, decisions, and sensitive data.

    • Decisions affecting people
    • Legal or equivalent effect
    • Use of sensitive data
  3. 3

    Review limited-risk triggers

    Review transparency and disclosure duties for interaction and content generation.

    • Chatbot interaction
    • Generated content
    • Biometric or emotional features
  4. 4

    Complete context

    Add organisational context, controls, and approvals.

    • Internal or external use
    • Supportive or autonomous
    • Controls and approvals
  5. 5

    Run the assessment

    Save the answers and let the system calculate the risk class automatically.

    • Review the result
    • Document the risk class
    • Trigger follow-up checklist work

Risk classes

Minimal risk

Baseline documentation, clear purpose description, and traceable ownership.

Limited risk

Additional transparency and disclosure duties, especially for interaction or content generation.

High risk

Expanded duties such as risk management, data governance, technical documentation, and human oversight.

Reassess and version

Create a new assessment whenever use, data sources, or system boundaries change. That keeps the history auditable.

Arturs Nikitins
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