Commission publishes first draft of Code of Practice on marking and labelling of AI-generated content
The European Commission has released the first draft of its Code of Practice on the marking and labeling of AI-generated content, a key step in regulating the burgeoning field of artificial intelligence. This initiative directly addresses the need for transparency in AI applications, ensuring users can distinguish between content created by humans and that generated or manipulated by AI systems. The code is designed to support the implementation of the AI Act, reinforcing the EU's commitment to ethical and trustworthy AI. The draft Code of Practice is divided into two sections. The first section targets providers of generative AI systems, focusing on rules for marking and detecting AI content in a machine-readable format. The second section applies to deployers of generative AI, outlining guidelines for labeling deepfakes and specific AI-generated or manipulated text, particularly on matters of public interest. The EU aims to finalize this voluntary Code of Practice by June 2026, ahead of the rules becoming applicable on August 2, 2026. This Code of Practice will impact both developers and users of generative AI technologies, promoting greater accountability and informed decision-making. By mandating clear labeling, the EU seeks to mitigate the risks associated with AI-generated content, such as disinformation and manipulation. This initiative is part of the broader regulatory framework aimed at fostering a human-centric approach to AI, emphasizing transparency and user trust in the digital ecosystem. The Commission is currently gathering feedback on the first draft of the Code, with a second draft expected by mid-March 2026. This collaborative process involves input from participants and observers, ensuring the final code reflects diverse perspectives. This proactive approach underscores the EU's leadership in establishing global standards for AI governance, promoting responsible innovation and safeguarding the integrity of information in the digital age.
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