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Code of Practice on Transparency of AI-Generated Content

This code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content.

The obligations under Article 50 of the AI Act (transparency obligations for providers and deployers of generative AI systems) address risks of deception and manipulation, fostering the integrity of the information ecosystem. These transparency obligations, applicable from 2 August 2026, complement other rules like those for high-risk AI systems or general-purpose AI models. They pertain to marking and detection of AI-generated content and labeling of deep fakes and certain AI-generated publications.

The Code of Practice on transparency of AI-generated content was drawn up by independent experts in a multi-stakeholder process facilitated by the AI Office. It helps providers and deployers of generative AI systems to comply with the AI Act’s obligations for labelling and marking of AI-generated content – Article 50(2),(4) and (5) of the AI Act. Even though adherence to the code is voluntary, the transparency requirements under article 50 of the AI Act are legal obligations.

Below you can find further information about the code and its drawing up process.

 

The Code of Practice on transparency of AI-generated content (PDF) has 2 sections:

  • Section 1: Providers - Rules for marking and detection of AI-generated and manipulated content
  • Section 2: Deployers - Rules for labelling of deepfakes and AI-generated and manipulated text

The EU has also created a set of icons that deployers of generative AI systems may use to label their AI-generated content.

The code, published on 10 June 2026, is currently undergoing an adequacy assessed by the Commission and the AI Board. It will be complemented by Commission guidelines on the scope of the transparency obligations laid down in Article 50 of the AI Act.

Following a positive assessment of the code, all providers and deployers who sign it can rely on its measures to demonstrate compliance with the AI Act’s rules for labeling and detection of AI-generated content, deep fakes and certain text publications. This will reduce their administrative burden and give them predictability, legal certainty and trust across all Member States. 

By contrast, providers and deployers that decide to comply through other means will have to demonstrate that those measures are adequate. This will be assessed individually by different market surveillance authorities. Signatories to the code will also collaborate in the Signatory Taskforces, which will be set up to share practices and advance the implementation of the marking and labelling.

The code promotes a consistent, practical and proportionate implementation of the AI Act’s transparency obligations. It does not replace the AI Act or the Commission’s guidelines on Article 50 AI Act. However, it provides an EU-wide recognised practical framework for signatories to demonstrate compliance with those obligations.

Providers and deployers of generative AI systems may sign up to the code. Find the Signatory Form and instructions and check the questions & answers about signing the code.

Drafting process

The code was drafted by eligible stakeholders who replied to a public call. Within this group were providers of specific generative AI systems, developers of marking and detection techniques, associations of deployers of generative AI systems, civil society organisations, academic experts, and specialised organisation with expertise in transparency and very large online platforms.

In its role as a facilitator, the AI Office also invited international and European observers to join the drawing up of code of practice. These organisations did not meet the eligibility criteria of the call, but contributed with their expertise. All participants and observers were invited to take part in plenary sessions, working group meetings, and thematic workshops dedicated to discussing technical aspects of the code.

The drafting process considered:

Working groups

The drafting of the code was centered around 2 working groups, following the structure of the transparency obligations for AI generated content in Article 50. Each working group was led by independent chairs and vice-chairs. You can download the full list of participants of working groups 1&2(PDF).

Working group 1: Providers

Focused on obligations, requiring providers of generative AI systems to ensure:

  • Outputs of AI systems (audio, image, video, text) are marked in a machine-readable format and detectable as artificially generated or manipulated.
  • The employed technical solutions are effective, interoperable, robust, and reliable as far as technically feasible. These take into account the specificities and limitations of various types of content, the costs of implementation and the generally acknowledged state of the art, as may be reflected in relevant technical standards.

Working group 2: Deployers

Focused on obligations, requiring deployers of generative AI systems to disclose:

  • Content that is artificially generated or manipulated, constituting a deep fake (image, audio, or video which resembles existing persons, objects, places, entities or events and would falsely appear to a person to be authentic or truthful).
  • AI generated/manipulated text publications informing the public on matters of public interest, unless the publication has undergone a process of human review and is subject to editorial responsibility.

Both groups also considered cross-cutting issues, including horizontal requirements for the information provided to the natural persons under Article 50(5) and cooperated with relevant actors across the value chain.

Timeline

 

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