EU AI Transparency Code Draws More Than 180 Signatories as Rules Take Effect
The first published cohort arrives as disclosure duties for interactive AI, deepfakes, and generated content become operative across the bloc.
The European Commission says its AI Office and national authorities began enforcing the AI Act on August 2, the same day new transparency duties started applying to certain interactive and generative AI systems. The Commission's official notice also confirms the first published cohort of more than 180 organisations signed to the Code of Practice on transparency of AI-generated content.
The signatory milestone is the new element. Earlier official material established the August deadline and described the disclosure framework; the newly published cohort shows that a substantial group of organisations has formally joined the code as the rules become operative. The Commission describes the code as a way to operationalise the transparency requirements, giving participating organisations a practical compliance path.
What changes for AI products
Interactive systems such as chatbots must tell people when they are dealing with AI rather than a human. Deepfakes made by generating or editing images, video, or audio must be labelled. The notice also says generated or altered content must carry machine-readable marks so automated systems can identify it more easily.
Those measures address two different audiences. Visible disclosures are meant to help people understand the media or system in front of them, while machine-readable marking gives platforms and other technical systems a way to detect synthetic or altered material. The Commission says the broader purpose is to reduce deception and manipulation, support informed choices, and give businesses clearer obligations.
Why the first cohort matters
A published signatory list turns a procedural deadline into an observable adoption signal. More than 180 organisations have chosen the Commission-backed implementation route at the point the rules start applying. That does not establish how consistently each signatory will implement labels or technical marks, and the notice does not report compliance testing, enforcement outcomes, or adoption among organisations outside the code.
The practical questions now move from policy design to implementation: whether chatbot notices are clear, whether deepfake labels remain visible when content is reposted, and whether machine-readable marks survive common editing and distribution workflows. The Commission's announcement confirms the requirements and the initial cohort, but not the quality of real-world execution.
Status
Confirmed. The effective date, disclosure categories, and first signatory count come from the European Commission. Internal confidence is medium because the article relies on one official source and implementation outcomes are not yet independently established.
Sources
Update note: Last reviewed 2026-08-02. We will revise this post when the Commission reports implementation evidence, enforcement outcomes, or material changes to the transparency framework.
Sources
Drafted with AI assistance from source briefs; reviewed for citation completeness and label accuracy.