Our approach to EU text provenance rules
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.The EU AI Act requires generative AI providers to make generated text identifiable in a machine-readable way. Text watermarking and detection remain early technologies with significant limitations, and views about their benefits and responsible uses are still developing.
- ▪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.The EU AI Act requires generative AI providers to make generated text identifiable in a machine-readable way.
- ▪Text watermarking and detection remain early technologies with significant limitations, and views about their benefits and responsible uses are still developing.
OpenAI Blog files mainly under ai. We currently carry 30 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | OpenAI Blog |
| Canonical URL | https://openai.com/index/eu-text-provenance |
| Publication time | Mon, 05 Oct 2026 15:00:00 GMT |
| Retrieval time | 2026-10-05T15:22:38.649Z |
| Last seen | 2026-10-05T15:22:38.649Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Oo1UuqS-uWAp · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
October 5, 2026SafetyOur approach to EU text provenance rulesPromoting transparency within the limits of today’s technology.Loading…ShareHow our watermarking works and performsHow our watermarking works and performsImpact of watermarking on output qualityWhat a text watermark doesn’t tell youOur next stepsOur broader approach to content provenanceHow our watermarking works and performsImpact of watermarking on output qualityWhat a text watermark doesn’t tell youOur next stepsOur broader approach to content provenanceContent 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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at OpenAI Blog.
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