Home / Safety / ASReview LAB for research & science
Universiteit Utrecht (the Netherlands)How safe is ASReview LAB for research & science?
ASReview LAB has a good GDPR profile. Usable in research & science, provided you use the business version and follow the points of attention below.
Where does ASReview LAB stand in research & science?
Shared place 6 of 30 options for research & science (professional tools and general assistants) on GDPR profile. 6 options, like ASReview LAB profile, are good. Each tile is an option we track for this field; click for the check.
Published safeguards
open source and runnable locally on your own laptop or institutional server, so your dataset never leaves your own environment; uses active learning models that you can choose and simulate in advance. The makers explicitly mention GDPR compliance and no tracking cookies.
How to use ASReview LAB 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
Questions
- How safe is ASReview LAB for research & science?
- ASReview LAB has a good GDPR profile. Usable in research & science, provided you use the business version and follow the points of attention below. Good safeguards, but not on every point.
- Does ASReview LAB train on my data?
- open source and runnable locally on your own laptop or institutional server, so your dataset never leaves your own environment; uses active learning models that you can choose and simulate in advance. The makers explicitly mention GDPR compliance and no tracking cookies.
- 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 Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data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 ASReview LAB Best AI for research & science
Summarised by the editorial team from provider documentation · not legal advice
Last checked: 27 October 2026 · How we check
Source: , checked on 27 October 2026
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