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Aiming at a moving target: how to research the automation of welfare
Umeå University, Faculty of Social Sciences, Department of Sociology.ORCID iD: 0009-0009-3587-4588
Department of Media and Communication Studies, Södertörn University, Sweden.
Department of Communication, University of Copenhagen, Denmark.
2025 (English)In: Digitalization, data and welfare: sociotechnical approaches to service delivery / [ed] Vasilis Galis; Vasileios-Spyridon Vlassis, Edward Elgar Publishing Ltd. , 2025, p. 25-37Chapter in book (Refereed)
Abstract [en]

This chapter presents the findings of an extensive mapping exercise to systematically identify systems for automated decision-making, including artificial intelligence for welfare provision in Swedish and Danish municipalities and regions. The starting point for the mapping exercise and the chapter is that knowing the extent and character of such systems is crucial for supporting and maintaining social justice. Theoretically, the contribution is framed through references to discussions of ADM and AI transparency and accountability. While considering the structural and practical limitations of transparency, we end the chapter with suggestions for future research to make welfare automation visible and hence open up for civic participation.

Place, publisher, year, edition, pages
Edward Elgar Publishing Ltd. , 2025. p. 25-37
Keywords [en]
Accountability, Automated decision-making, Denmark, Mapping methodologies, Public AI, Sweden, Transparency
National Category
Sociology (Excluding Social Work, Social Anthropology, Demography and Criminology)
Identifiers
URN: urn:nbn:se:umu:diva-246882DOI: 10.4337/9781035338153.00009Scopus ID: 2-s2.0-105021600337ISBN: 9781035338153 (electronic)ISBN: 9781035338146 (print)OAI: oai:DiVA.org:umu-246882DiVA, id: diva2:2018514
Available from: 2025-12-03 Created: 2025-12-03 Last updated: 2025-12-03Bibliographically approved

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Liminga, Agnes

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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