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    Algorithmic Impact Assessment (AIA)

    Application & enablementAlgorithmic Impact AssessmentAIA
    Editorially reviewed on: 1 source
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    The short answer · 10 words

    In short

    Structured assessment of possible impacts of an algorithmic decision-making system.

    Flow-alerta.cab (2026): Algorithmic Impact Assessment (AIA). https://flow-alerta.cab/en/glossar/algorithmic-impact-assessment-aia. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Complements technical tests with consequences for affected persons and organizational controls.

    Example scenario: Before an automated prioritization of requests, a team evaluates possible disadvantages and complaint paths.

    Use as a structuring aid for an own project; check the actually applicable obligations separately.

    At a glance

    Core
    An algorithmic impact assessment examines how an automated decision-making system can affect people and their interests. For this purpose, the context of use, data, decisions, risks and countermeasures are evaluated. A concrete example is the AIA instrument of the Canadian government.
    Use
    Complements technical tests with consequences for affected persons and organizational controls.
    Example
    Example scenario: Before an automated prioritization of requests, a team evaluates possible disadvantages and complaint paths.
    Limits
    Complete questionnaires without supporting documents; evaluate consequences only technically; represent the Canadian instrument as a general German legal obligation.

    In context

    AI Risk Management

    Identify, evaluate and adequately address risks of an AI system.

    AI Governance

    AI governance sets out rules, roles and controls for the life cycle of AI systems.

    Questions about this term

    Is AIA a globally uniform certification?

    No.

    Is it replacing a data protection impact assessment?

    No, their prerequisites and subject matter are to be examined separately.

    All details and background

    An algorithmic impact assessment examines how an automated decision-making system can affect people and their interests. For this purpose, the context of use, data, decisions, risks and countermeasures are evaluated. A concrete example is the AIA instrument of the Canadian government.

    ELI5 – Explained simply

    You check before the assignment: Who is the decision, what can go wrong, and how can this be limited?

    Why it matters in practice

    Complements technical tests with consequences for affected persons and organizational controls.

    Example

    Example scenario: Before an automated prioritization of requests, a team evaluates possible disadvantages and complaint paths.

    Pitfalls and limits

    • Complete questionnaires without supporting documents; evaluate consequences only technically; represent the Canadian instrument as a general German legal obligation.

    Origin & history

    The Canadian Treasury Board developed a publicly available AIA questionnaire for its policy on automated decision-making.

    Use in mid-sized companies

    • Use as a structuring aid for an own project; check the actually applicable obligations separately.

    Related terms

    Matching Flow-alerta service

    AI opportunity analysis & roadmapAI consulting: AI potential analysis & roadmap on tasks, data and prerequisites of a possible first AI use case.

    Matching tool / use case

    View use casesTool example: Public AIA questionnaire of the Canadian government.

    Sources

    Quellenprüfung: 09.10.2026. Die Quellen belegen Definition und dokumentierte Einordnung; Anwendungsbeispiele sind mögliche Szenarien.

    Editorially reviewed on:

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