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    AI Transparency Obligation

    AI transparency obligations require disclosure of certain AI interactions and artificially generated or altered content. Article 50 of the EU AI Act assigns different duties to providers and deployers. Technical marking and information understandable to people serve different functions. It does not impose one blanket visible label on every text edited with AI.

    AI Transparency Obligation explained

    Under Article 50(1), direct interaction with an AI system generally requires people to be informed unless the AI interaction is already obvious. Put required notices where the encounter begins. A hidden explanation in a legal notice does not reliably explain an ongoing conversation. Design information to be understandable for people with different accessibility needs.

    Paragraph 2 concerns machine-readable marking of synthetic outputs by system providers, with legal limits and exceptions such as certain standard editing. Paragraph 4 instead addresses deployer disclosure for deepfakes and certain text publications on matters of public interest. Not every AI output is a deepfake. Classification depends on content and presentation; a technical provenance signal does not automatically replace a required perceptible notice.

    For the relevant text publications, the law provides an exception involving human review or editorial control and editorial responsibility. This is not a general exemption for images or videos. Spell-checking alone is not substantive review. As of 11 September 2026, transparency rules generally apply from 2 August 2026; the transition to 2 December 2026 concerns only certain previously marketed systems and paragraph 2.

    Creative Engineering connects clear communication with a traceable production process. We take responsibility for the concept and quality. Document what was generated, what review occurred and which notices the actual use requires. Test labels in the published format, including shortened excerpts. Transparency does not make a false statement true or replace cleared rights and factual quality.

    Examples

    Hypothetical application

    A company publishes an AI-assisted information article. Its editors actually check statements and sources and accept editorial responsibility. A separately produced synthetic video receives its own assessment of presentation and disclosure; the text review is not treated as a blanket exemption.

    Key Points

    • Distinguish provider marking from deployer disclosure.
    • Assess content, context and exceptions specifically.
    • Test required notices in actual use.

    Practical application

    Assess the particular publication and your role. Document review and ownership, then implement required notices according to the medium and use context.

    Useful measures

    Correct implementation per item

    Check planned marking and disclosure against the documented assessment.

    Perceptibility

    Test whether required notices are understood in time in the actual format.

    Traceable review

    Document substantive review, approval and editorial responsibility.

    Common mistakes

    • Calling all AI text, images and video deepfakes.
    • Assuming one general website notice satisfies every disclosure.
    • Treating a label as proof of accuracy or cleared usage rights.

    Sources and context

    Frequently Asked Questions about AI Transparency Obligation

    Not categorically under Article 50. Content, purpose, role and potential exceptions determine the particular duty. Other legal or contractual requirements may apply.

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