OpenAI Backs EU AI Transparency Code

OpenAI backs the EU's Code of Practice on AI-Generated Content Transparency, reinforcing its commitment to AI provenance and responsible development under the EU AI Act.

OpenAI logo with European Union flag elements
OpenAI's support for the EU's AI transparency code.· OpenAI News
Visual TL;DR
AI Content TransparencyDriver
need for users to know AI-generated content origins
From the article 6 mentionsOpenAI is publicly backing Europe’s push for a transparent AI ecosystem, announcing its support for the European Commission’s Code of Practice on Transparency of AI-Generated Content.
EU AI Transparency CodeCore
From the article 4 mentionsOpenAI is publicly backing Europe’s push for a transparent AI ecosystem, announcing its support for the European Commission’s Code of Practice on Transparency of AI-Generated Content.
OpenAI Backs CodeCore
OpenAI publicly supports the EU's transparency code for AI
From the article 2 mentionsThis support follows OpenAI's earlier commitment as the first U.S. company to sign the EU’s General-Purpose AI Code of Practice in 2025.
EU AI ActEffect
From the articleThis initiative serves as a key step in implementing the EU AI Act, aiming to provide users with context about AI-generated material.
AI ProvenanceContext
understanding content source, creation method, and authenticity
From the article 5 mentionsThe company's endorsement builds on years of work in AI provenance, a concept crucial for understanding content origins.
Responsible AIEffect
From the articleThe company views clear regulations as essential for responsible AI development and industry certainty.
C2PA MetadataCore
From the article 6 mentionsOpenAI began integrating C2PA metadata into its DALL-E 3 image generator in 2024, a foundational step in tracing AI-created assets.

OpenAI is publicly backing Europe’s push for a transparent AI ecosystem, announcing its support for the European Commission’s Code of Practice on Transparency of AI-Generated Content. This initiative serves as a key step in implementing the EU AI Act, aiming to provide users with context about AI-generated material.

The company's endorsement builds on years of work in AI provenance, a concept crucial for understanding content origins. OpenAI began integrating C2PA metadata into its DALL-E 3 image generator in 2024, a foundational step in tracing AI-created assets.

This support follows OpenAI's earlier commitment as the first U.S. company to sign the EU’s General-Purpose AI Code of Practice in 2025. The company views clear regulations as essential for responsible AI development and industry certainty.

Why Provenance Matters

As AI tools become more integrated into content creation, understanding content provenance, its source, creation method, and authenticity, is paramount. Provenance signals can combat disinformation and bolster election integrity.

OpenAI advocates for robust, ecosystem-wide provenance methods, collaborating with organizations like the C2PA. However, metadata alone is insufficient, as it can be stripped or degraded.

OpenAI's Multi-Layered Provenance Approach

To enhance transparency, OpenAI employs a strategy combining multiple signals and safeguards. This includes C2PA Content Credentials for images generated by DALL·E 3 and the OpenAI API. Images from ChatGPT and Codex also feature SynthID watermarks alongside metadata.

The company offers a public verification tool at openai.com/verify for supported OpenAI-generated images. OpenAI also contributes to open standards, joining the C2PA Steering Committee in 2024.

These technical measures complement policy enforcement, classifiers, and reporting channels designed to mitigate deceptive AI use. Effective AI governance hinges on this comprehensive approach.

While provenance is a developing field, OpenAI commits to strengthening content transparency, contributing to interoperable standards, and improving verification tools. The company aims to collaborate with the AI Office and the broader AI community to foster a safer digital environment.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.

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