Supporting Europe’s work in ensuring a trustworthy AI ecosystem

2026-06-10 · Source: OpenAI News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

OpenAI announced its support for the EU Code of Practice on Transparency of AI-generated content on June 11, 2026, building on its extensive provenance work. This Code is a key step in implementing the EU AI Act and fostering a transparent digital ecosystem. OpenAI has been integrating provenance standards since 2024, initially adding C2PA metadata to DALL-E 3 images. The company's multi-layered approach now includes C2PA Content Credentials and SynthID watermarks for images generated via ChatGPT, Codex, and the OpenAI API, alongside a public verification tool at openai.com/verify. OpenAI also contributes to open standards, joining the C2PA Steering Committee in 2024, and employs product safeguards to reduce deceptive AI content use. The company emphasizes that provenance, while crucial for understanding content origin and combating disinformation, is still evolving and requires ecosystem-wide collaboration for robust, interoperable solutions.

Key takeaway

For Directors of AI/ML developing content generation tools, you should prioritize integrating robust, multi-layered provenance techniques from the outset. Your strategy must combine standards like C2PA metadata and watermarking with product safeguards and public verification tools to enhance transparency. This approach helps you comply with evolving regulations like the EU AI Act and proactively build user trust, even as provenance methods continue to mature.

Key insights

Effective AI content provenance requires multi-layered technical approaches and broad ecosystem collaboration to ensure transparency.

Principles

• Provenance signals provide crucial content context.
• Multi-layered approaches enhance provenance resilience.
• Metadata alone is not foolproof for content provenance.

Method

OpenAI's multi-layered provenance combines C2PA metadata, SynthID watermarks, a public verification tool (openai.com/verify), contributions to open standards like C2PA, and product safeguards to detect and reduce deceptive AI content.

In practice

• Implement C2PA metadata for AI-generated images.
• Employ watermarking to preserve content signals.

Topics

• AI Transparency
• Content Provenance
• EU AI Act
• C2PA Metadata
• SynthID Watermarks
• Digital Ecosystem Security

Best for: CTO, VP of Engineering/Data, Executive, Policy Maker, AI Ethicist, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenAI News.