Code of Practice on Transparency of AI-generated Content
This voluntary Code of Practice assists providers and deployers of generative AI systems in complying with transparency obligations under Article 50 of the EU AI Act. It establishes rules for machine-readable marking and detection of AI-generated content by providers, as well as labelling of deepfakes and public-interest text publications by deployers. Adhering to the code provides signatories with a recognized practical framework to demonstrate compliance and legal certainty across EU Member States.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Providers and deployers of generative AI systems seeking to comply with EU AI Act transparency rules.
What the document contains
The code covers technical and practical measures for marking, detecting, and labelling generative AI outputs including audio, images, video, and text. It outlines obligations for providers concerning interoperable and robust technical solutions, and for deployers regarding the disclosure of deepfakes and AI-generated text publications.
Detailed enforcement penalties and broader AI Act compliance measures unrelated to Article 50 transparency are not detailed within this text.
- The Code of Practice helps providers and deployers comply with Article 50 transparency obligations of the EU AI Act.
- Adherence to the code is voluntary, though the underlying transparency requirements in the AI Act are legal obligations.
- Section 1 focuses on provider rules for machine-readable marking and detection of artificially generated content.
- Section 2 focuses on deployer rules for labelling deepfakes and AI-generated text publications on matters of public interest.
- Signatories can rely on the code's measures to demonstrate compliance and gain legal certainty across EU Member States.
· 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
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
1/5Clear responsibility for AI outcomes
Focused on obligations, requiring providers of generative AI systems to ensure
Working group 1
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
4/5Humans remain in control of consequential decisions
unless the publication has undergone a process of human review and is subject to editorial responsibility.
Working group 2
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-23
Transparency
5/5Openness about how AI systems work and are used
This code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content.
Main Text
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
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.
Main Text
screening score · 2026-10-23
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-23