In almost all cases, it is safe to upload a published article into Keenious. Uploading a published article to Keenious works much like uploading it to a private cloud service such as Google Drive or OneDrive: the document stays private to you, and the analysis is automated and encrypted.
The exception may be a publisher's license specifically stipulates that an article cannot be "processed" or "analysed" by AI. This should not be confused with terms that restrict training on an article, since that is not a concern when using Keenious: Keenious does not train on uploaded documents. We aim to respect the rights of both publishers and authors.
How Keenious handles your document
Keenious never uses your documents to train its models or the models of its providers.
Your documents are not shared with or distributed to anyone else.
Documents are processed within the European Union.
For more details, see our Privacy Policy.
Why the answer is "almost all cases" and not just "yes"
Some publishers include terms in their digital licenses that restrict the use of automated tools on their content. As these license agreements are between you (or your institution) and the publisher, it is the responsibility of you, or your institution, to establish whether an article can be uploaded. Keenious cannot make the determination on your behalf.
How institutions have approached this question?
Many academic institutions have evaluated how Keenious handles documents. Several partner universities have conducted thorough vetting processes and approved Keenious under their institutional guidelines. This is possible because Keenious does not train on documents and establishes Data Processing Agreements (DPAs) with partner institutions, giving institutions confidence in how data is handled.
If you use Keenious through an institutional subscription, your library or IT department has typically already reviewed our Data Processing Agreement. If you are in doubt about a specific document, check your institution's AI and data privacy guidelines, or ask your library.
