Researchers find all big-name bots bomb EU compliance tests
Aithos, a nonprofit AI research foundation, has found that all major large language models (LLMs) fail to comply with EU regulations. Their tool, LARA, assessed these models and revealed that some break the law in up to 93 percent of scenarios. This raises concerns about the legal responsibilities of developers and organizations using these AI systems.
- ▪All leading large language models assessed by Aithos failed EU compliance tests.
- ▪The Kimi K2.6 model from Moonshot AI was identified as the worst offender.
- ▪Aithos warns that developers and organizations using these models may face legal liabilities.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | theregister |
| Canonical URL | https://www.theregister.com/ai-ml/2026/05/27/researchers-find-all-big-name-bots-bomb-eu-compliance-tests/5247176 |
| Publication time | Sat, 30 May 2026 09:27:24 +0000 |
| Retrieval time | 2026-05-30T09:42:09.036Z |
| Last seen | 2026-05-30T09:42:09.036Z |
| 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 | iZ2XZ0azLBNS |
| 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
(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); AI + ML Researchers find all big-name bots bomb EU compliance tests Given a chance, AI will be breaking the law, breaking the law Dan Robinson Dan Robinson Published wed 27 May 2026 // 16:37 UTC All the leading large language models (LLMs) fall foul of EU regulations, with some harvesting user data in spite of GDPR while others have been caught trying to upsell premium services to vulnerable users.So claims nonprofit AI research foundation Aithos, which developed a tool called LARA…
Excerpt limited to ~120 words for fair-use compliance. The full article is at theregister.