The DOI matches its Crossref record.
Open-Source AI made in the EU: Why it is a Good Idea
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Metadata
- Authors
- Floridi, L., Buttaboni, C., Hine, E., Novelli, C., Schroder, T., & Shanklin, G.
- Affiliations
- Yale University (US)
- Corresponding author
- Floridi, Luciano
- Venue
- Minds and Machines
- Publisher
- Elsevier BV
- Published
- 2025
- Volume
- 35
- Issue
- 2
- ISSN
- 0924-6495 (ISSN-L)
- OpenAlex
- W4410940517
- Cited by
- 9
- References
- 0
- Citations by year
- 2026: 7 · 2025: 2
- FWCI
- 9.41
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Minds and Machines (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Lirias (submittedVersion, other-oa)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Law, AI, and Intellectual Property
- Keywords
- AI regulation, AI ethics, trustworthy AI, AI factories, EuroHPC
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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