Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
'AI first' to 'Purpose first': rethinking Europe's AI strategy
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-7409-5813
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8722-5661
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Show others and affiliations
2025 (English)Other (Other (popular science, discussion, etc.))
Resource type
Text
Abstract [en]

This paper examines the European Commission’s “AI First” strategy, arguing that it places acceleration and economic competitiveness above democratic values, societal benefit, and human-centric innovation. While substantial investment in AI is welcome when it promotes sustainable, equitable, and responsible innovation, the authors warn that policy is shifting from governance to unchecked deployment, risking fragmentation, dependency, and misaligned priorities. Rather than asking how AI can be applied, the paper urges policymakers to ask why, advocating a “People First” approach grounded in societal needs, digital sovereignty, and responsible innovation. The authors argue that Europe’s AI leadership should be shaped not by speed, but by principled direction, inclusivity, and a commitment to long-term public value.

Place, publisher, year, pages
Umeå University, 2025. p. 1-5
Keywords [en]
European Commission, European Union, Invest AI, Apply AI, AI First Policy, Question Zero, Responsible AI
National Category
Computer Sciences Political Science
Identifiers
URN: urn:nbn:se:umu:diva-246450DOI: 10.63439/LPOU6506OAI: oai:DiVA.org:umu-246450DiVA, id: diva2:2014259
Note

Entry AI Policy Lab, a multidisciplinary research hub  at Umeå University. 

Available from: 2025-11-17 Created: 2025-11-17 Last updated: 2025-11-19Bibliographically approved

Open Access in DiVA

fulltext(126 kB)207 downloads
File information
File name FULLTEXT01.pdfFile size 126 kBChecksum SHA-512
ff04dd4dc7e9a25406dca9cd6fa9492f33951c4a0b7d075703d7366dd70221177f496387cdc1fa99043e40f36566c98064430afc04125b2c78c71a61715174c3
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Dignum, VirginiaCarli, RacheleEricson, PetterTitareva, TatjanaTucker, Jason

Search in DiVA

By author/editor
Dignum, VirginiaCarli, RacheleEricson, PetterTitareva, TatjanaTucker, Jason
By organisation
Department of Computing Science
Computer SciencesPolitical Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 573 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf