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MetaHow safe is Llama for research & science?
Llama has a concrete GDPR concern. The Llama 4 Acceptable Use Policy prohibits the multimodal models for businesses headquartered in the EU. Dutch companies therefore may not, under the licence, install the multimodal Llama 4 models themselves. Weigh this heavily before using it in research & science.
Where does Llama stand in research & science?
Shared spot 24 of 30 options for research & science (professional tools and general assistants) on the GDPR profile. 7 options, like Llama, have a Caution profile. Each tile is an option we track for this field; click for the check.
Published safeguards
Self-hosting gives full data control within your own EU infrastructure, a strong GDPR argument.
How to use Llama safely
- Use the business variant and sign a data processing agreement (DPA).
- Do not enter unnecessary personal data into prompts; anonymise where possible.
- Enable EU data residency where the provider offers it.
- Keep a professional in the loop: never use AI as a source: every reference must be traceable to the original article, as invented or misattributed citations are the most common error.
Stronger or equally strong in research & science
CradleCradle (Amsterdam, the Netherlands and Zürich, Switzerland)ASReview LABUniversiteit Utrecht (the Netherlands)KeeniousKeenious (Norway)ScholarcyEverway Opco Limited / Scholarcy (Antrim, United Kingdom)SciSpacePubGenius Inc. (Milpitas, United States)Latest developments
Meta released Muse Spark Open (around 816B parameters, open weights). Unlike Llama 4, the Muse Model License does not exclude companies in the EU; EU licensees contract with Meta Platforms Ireland. Conditions: attribution 'Built with Muse Spark Open', a separate agreement for model-as-a-service above $20 million in revenue, and access via a manual request with name, date of birth and organisation name. Self-hosting keeps data within your own infrastructure. source
The Acceptable Use Policy excludes companies headquartered in the EU from the multimodal Llama 4 models, due to regulatory uncertainty around the EU AI Act. source
Questions
- How safe is Llama for research & science?
- Llama has a concrete GDPR concern. The Llama 4 Acceptable Use Policy prohibits the multimodal models for businesses headquartered in the EU. Dutch businesses therefore may not install the multimodal Llama 4 models themselves under the licence. Weigh this heavily before you deploy it in research & science. There is a concrete GDPR concern, read the details on the page.
- Does Llama train on my data?
- Self-hosting gives full data control within your own EU infrastructure, a strong GDPR argument.
- What should I look out for with AI in research & science?
- Never use AI as a source: every reference must be traceable to the original article, as fabricated or wrongly attributed citations are the most common error. Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data processing agreement, and check whether the provider stores your input or uses it for training (publishers usually prohibit this explicitly for peer review). If you work with personal data from research participants, the GDPR and your own ethics review apply: running models locally or using an EU-hosted tool with data minimisation is then the safe route. Finally, document your search strategy and your AI use: journals and funders increasingly ask for this, and a review must remain reproducible.
Source documents
Everything about Llama Best AI for research & science
Summarised by the editorial team from provider documentation · not legal advice
Last checked: 5 November 2026 · How we check
Source: , checked on 5 November 2026
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