EU AI Act Transparency Rules Take Shape: Commission Publishes Code of Practice for AI-Generated Content
The European Commission has published final guidance on marking and labelling AI-generated content, as transparency rules prepare for August 2026 implementation.
EU AI Act Transparency Rules Take Shape as Implementation Deadline Approaches
The European Commission has published the final Code of Practice on marking and labelling of AI-generated content, marking a significant step in implementing the EU AI Act’s transparency obligations ahead of the critical August 2026 deadline.
Key Developments
The Code of Practice, released this month, provides practical guidance for AI providers and deployers on complying with transparency requirements. It covers marking AI-generated content and disclosing the artificial nature of images, audio (including deepfakes), and text. The code operates as a voluntary tool, designed to help organisations understand and meet their legal obligations without prescribing a single rigid approach.
This announcement comes alongside other recent implementation milestones. The Commission has also opened recruitment for the RAISE High-Level Academic Advisory Board, seeking 10 to 15 leading academics in AI science to provide independent expert guidance. The AI Board convened its eighth meeting on June 12 to discuss latest developments in the European AI strategy and Act implementation.
Why This Matters
The transparency rules represent a cornerstone of the AI Act’s approach to trustworthy AI. Unlike outright bans on high-risk systems, transparency obligations enable users and regulators to understand when and how AI is being used in their interactions. This is particularly important as generative AI systems proliferate across consumer and enterprise applications.
For Irish and European organisations, these rules will apply across all EU member states from August 2026. The Code of Practice provides clarity that regulators and legal experts can reference when assessing compliance—reducing ambiguity that might otherwise lead to costly reinterpretation or enforcement action.
Practical Implications for Builders and Users
Providers of generative AI systems should begin reviewing the Code of Practice now to identify how their current disclosure mechanisms align with recommended approaches. Key considerations include:
- Disclosure timing and format: How and where AI-generated content is marked
- Scope coverage: Ensuring all forms of AI output (images, audio, text, synthetic media) are addressed
- User experience: Balancing compliance with usability—transparency rules shouldn’t be buried in dense terms
For deployers (organisations using AI systems), the code provides guidance on implementing human oversight and understanding transparency obligations when using third-party models or tools.
Open Questions
While the Code of Practice provides welcome clarity, some implementation details remain under discussion. The broader AI Act amendments (agreed in May) extend certain compliance deadlines for high-risk systems from August 2026 to December 2027. However, formal adoption of these amendments remains pending publication in the Official Journal—expected before August 2, 2026.
Organisations should also monitor ongoing standardisation work and guidelines from the EU AI Office, as harmonised standards will translate legal requirements into technical specifications that simplify compliance across the 27 member states.