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OpenAI supports the EU Code of Practice on AI content transparency, advancing provenance standards and tools to help people understand AI-generated content.
OpenAI announces support for the EU Code of Practice on Transparency of AI-generated content, building on years of provenance work.
People are using AI to create and edit content in new ways. As these tools become more capable and more widely used, people should have context about the content they see online.
Today, following publication of the European Commission’s Code of Practice on Transparency of AI-Generated Content(opens in a new window), OpenAI is announcing its support for the Code and the ambition behind it. The Code is an important step in implementing the EU AI Act and building a more transparent digital ecosystem.
Our support builds on years of internal research, product development, and cooperation with the wider ecosystem to strengthen provenance for AI-generated content. OpenAI has been developing and adopting provenance standards since 2024, when we began adding C2PA metadata to our DALL-E 3 image generation tool. Since then, we have continued to strengthen provenance through improved marking and detection methods, new research, and the release of our first public verification tool. Drawing on years of expertise, we contributed to the development of this Code alongside hundreds of other stakeholders to help ensure a trustworthy AI ecosystem.
This builds on our broader approach to AI governance in Europe. In 2025, OpenAI was the first US company to sign the EU’s General-Purpose AI Code of Practice(opens in a new window), reflecting our belief that clear, workable rules can help AI develop responsibly while giving companies the certainty to keep building. We support this new Code in the same spirit. Advancing transparency of AI-generated content is an ecosystem-wide effort, requiring contribution from actors all along the value chain. The EU AI Act and the Code recognize this, and we are committed to doing our part by complying with the requirements that apply to our relevant products.
As AI tools become a part of how people build, imagine, and share, it’s important that people can understand where content comes from and interpret it with confidence. Provenance signals can help by giving people context about content’s source, how it was created or edited, and whether it is what it claims to be. Provenance can also help protect the digital ecosystem by making it easier to detect disinformation campaigns and support election integrity.