EU AI transparency code enters final drafting stage amid disputes over deepfake labels and watermarking

The European Commission’s AI Office held a new round of consultations on the future Code of Practice for AI-generated content transparency, with industry, civil society, and researchers divided over how strict disclosure and detection requirements should be.

EU AI transparency code enters final drafting stage amid disputes over deepfake labels and watermarking

The European Commission AI Office has completed a third round of meetings and workshops linked to the future Code of Practice on marking and labelling AI-generated content. The discussions will inform the final draft of the code, expected in early June.

The process forms part of implementation work under Article 50 of the Artificial Intelligence Act, which introduces transparency obligations for certain generative AI systems, deepfakes, and AI-generated content.

The code is intended to clarify how providers and deployers of generative AI systems should identify, mark, detect, and disclose AI-generated material in practice.

Two separate working groups examined different parts of the problem. One focused on technical marking and detection obligations for providers of generative AI systems. The other focused on disclosure obligations for deployers using AI-generated text or deepfakes.

The discussions revealed significant disagreements between industry representatives, civil society groups, and academic experts.

Industry participants raised concerns about compliance burdens, technical feasibility, innovation constraints, and risks linked to overly prescriptive rules. Civil society organisations and researchers argued for stronger safeguards, clearer disclosures, and more consistent transparency requirements across platforms.

Several technical issues were debated during the workshops. These included visible labels for AI-generated content, machine-readable watermarks, metadata systems, provenance information, deepfake disclosure mechanisms, and the possible introduction of a common EU transparency icon.

The practical challenge is interoperability across the AI content chain. AI-generated material can move between platforms, formats, and services, making it difficult to ensure that labels, watermarks, or provenance signals remain visible and technically reliable after editing, reposting, or transformation.

Another issue is proportionality. Smaller providers and deployers warned that complex watermarking, detection, and compliance systems could create operational burdens that are easier for large platforms to absorb than for SMEs or smaller developers.

The code itself will not replace the AI Act, but it is expected to shape how transparency obligations are interpreted operationally across the EU once enforcement begins.

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