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Nordic lights? National AI policies for doing well by doing good
RISE Research Institutes of Sweden, Digital Systems, Prototyping Society. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-0738-2737
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-2017-7914
2020 (English)In: Journal of Cyber Policy, ISSN 2373-8871, Vol. 5, p. 332-349Article in journal (Refereed) Published
Abstract [en]

Getting ahead on the global stage of AI technologies requires vast resources or novel approaches. The Nordic countries have tried to find a novel path, claiming that responsible and ethical AI is not only morally right but confers a competitive advantage. In this article, eight official AI policy documents from Denmark, Finland, Norway and Sweden are analysed according to the AI4People taxonomy, which proposes five ethical principles for AI: beneficence, non-maleficence, autonomy, justice and explicability. The principles are described in terms such as growth, innovation, efficiency gains, cybersecurity, malicious use or misuse of AI systems, data use, effects on labour markets, and regulatory environments. The authors also analyse how the strategies describe the link between ethical principles and a competitive advantage, and what measures are proposed to facilitate that link. Links such as a first-mover advantage and measures such as influencing international standards and regulations are identified. The article concludes by showing that while ethical principles are present, neither the ethical principles nor the links and measures are made explicit in the policy documents.

Place, publisher, year, edition, pages
Taylor & Francis , 2020. Vol. 5, p. 332-349
Keywords [en]
National strategies, artificial intelligence, ethics, competition, AI governance
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-53109DOI: 10.1080/23738871.2020.1856160OAI: oai:DiVA.org:ri-53109DiVA, id: diva2:1555252
Projects
TALFÖR, Transparenta algoritmer i försäkringsbranschen
Funder
Länsförsäkringar AB, P4/18Available from: 2021-05-18 Created: 2021-05-18 Last updated: 2023-06-08Bibliographically approved

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Dexe, JacobFranke, Ulrik

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf