Our approach to EU text provenance rules
OpenAI is implementing new text watermarking tools for its models to comply with the EU AI Act's transparency requirements. The company is taking a phased approach, making watermarking optional for API customers while providing detection tools to select researchers.
Why it matters
As generative AI becomes more prevalent, establishing provenance and transparency is essential for distinguishing human-generated content from machine-generated content.
Promoting transparency within the limits of today’s technology.
Share How our watermarking works and performs How our watermarking works and performs Impact of watermarking on output quality What a text watermark doesn’t tell you Our next steps Our broader approach to content provenance How our watermarking works and performs Impact of watermarking on output quality What a text watermark doesn’t tell you Our next steps Our broader approach to content provenance Content provenance helps people understand where content came from, how it was created or edited, and whether it contains signals associated with our models. We’ve already made tools publicly available to identify images and audio generated by our models. Today, we’re sharing our approach to text watermarking in response to the EU AI Act, and how it fits into our broader work.
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