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    EU AI Act

    The EU AI Act is Europe’s AI regulation, Regulation (EU) 2024/1689 as amended. It covers prohibited practices, certain high-risk systems, transparency and general-purpose AI models, among other matters. Applicable obligations depend on the application, role and date. A marketing tool is not high-risk AI merely because it influences purchasing decisions.

    EU AI Act explained

    Start with the actual task: does a tool create internal drafts, answer customer questions or assess job applicants? Then identify who provides the system and who deploys it under their authority. A purchased model and an application built on it are different layers. Supplier statements therefore do not replace assessment of your own use.

    High-risk classification follows the conditions in Article 6 and the associated annexes. Marketing personalisation or profiling does not automatically establish that classification; the particular use case matters. Likewise, the specific rules for biometric applications cannot be reduced to one statement about all facial recognition. Data protection, consumer protection and other relevant rights still require assessment alongside the AI Act.

    As of 11 September 2026: the AI Act entered into force on 1 August 2024. Article 50 transparency rules generally apply from 2 August 2026. Certain systems already on the market before then have a transition until 2 December 2026 for technical marking under Article 50(2). Following AI Omnibus amendments, the relevant high-risk obligations for Annex III apply from 2 December 2027 and for regulated products under Annex I from 2 August 2028. Other transitional provisions require separate consideration.

    Creative Engineering connects the communication task with a traceable implementation. We take responsibility for the concept and quality. Record intended use, roles, data flows and required measures, and review changes. Support staff AI literacy according to their tasks. An internal score or generic supplier certificate does not replace a reasoned assessment of the requirements that actually apply.

    Examples

    Hypothetical application

    A company plans a product assistant. It documents functions, data and ownership, assesses classification and makes required notices understandable. Before , it checks factual quality and handling of unresolved questions; a later functional expansion triggers renewed assessment.

    Key Points

    • Derive obligations from application, role and current law.
    • Distinguish high-risk classification from transparency.
    • Separate application dates from specific transitional rules.

    Practical application

    Inventory AI applications with their purpose, roles and data flows. Map specific obligations and dates, and document implementation and open questions with the responsible specialists.

    Useful measures

    Documented assessment

    Applications with traceably recorded purpose, roles and relevant requirements.

    Progress per obligation

    Track required measures with owners, deadlines and verifiable evidence.

    Assessment currency

    Revisit classification after relevant changes to applications, suppliers or law.

    Common mistakes

    • Classifying every personalised recommendation as high-risk AI.
    • Repeating outdated deadlines from the original text.
    • Replacing assessment of individual obligations with an overall score.

    Sources and context

    Frequently Asked Questions about EU AI Act

    No. The legal conditions and specific purpose determine classification. Use for advertising or product recommendations alone is insufficient.

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