EU Code of Practice on Transparency of AI-Generated Content (Starting August)
This code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content. The obligations under Article 50 of the AI Act (transparency obligations for providers and deployers of generative AI systems) address risks of deception and manipulation, fostering the integrity of the information ecosystem. These transparency obligations, applicable from 2 August 2026, complement other rules like those for high-risk AI systems or general-purpose AI models.
- ▪This code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content.
- ▪The obligations under Article 50 of the AI Act (transparency obligations for providers and deployers of generative AI systems) address risks of deception and manipulation, fostering the integrity of the information ecosystem.
- ▪These transparency obligations, applicable from 2 August 2026, complement other rules like those for high-risk AI systems or general-purpose AI models.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,252 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 | Shaping Europe’s digital future |
| Canonical URL | https://digital-strategy.ec.europa.eu/en/policies/code-practice-ai-generated-content |
| Publication time | Sun, 02 Aug 2026 16:00:26 +0000 |
| Retrieval time | 2026-08-02T16:05:46.443Z |
| Last seen | 2026-08-02T16:05:46.443Z |
| 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 | RBgycS5EH7w3 · 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
This code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content. The obligations under Article 50 of the AI Act (transparency obligations for providers and deployers of generative AI systems) address risks of deception and manipulation, fostering the integrity of the information ecosystem. These transparency obligations, applicable from 2 August 2026, complement other rules like those for high-risk AI systems or general-purpose AI models. They pertain to marking and detection of AI-generated content and labelling of deepfakes and certain AI-generated publications.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Shaping Europe’s digital future.
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