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The beginning of AI-driven welfare? An inquiry into how public sector AI experiments shape the Danish welfare state

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Host publication Subtitle

Sociotechnical Approaches to Service Delivery

Original language

English

Pages from-to (Number of pages)

Pages 38-56 (19 pages)

Publication milestones

  • Published - 21/08/2025

Publication status

Published - 21/08/2025

Place of publication

Cheltenham

Publisher

Edward Elgar Publishing
9781035338146

ISBN (Electronic)

9781035338153

Chapter Number

3

Publication IDs

  • ORCID: /0000-0003-1358-6007/work/190554169
  • Scopus: 105021644285

Host publication title

Digitalization, Data and Welfare: Sociotechnical Approaches to Service Delivery

Host publication editors

  • Vasilis Galis
  • Vasileios-Spyridon Vlassis

Abstract

This study investigates the nascent stages of an AI-driven welfare state by focusing on 40 signature projects initiated by the Danish Government between 2020 and 2022. These projects represent a paradigmatic case of AI experimentation within the welfare state. We adopt an empirical approach based on mixed methods to explore the objectives, organizational actors, goals, and outcomes of the projects, shedding light on the evolving landscape of AI-driven welfare from 2020 to 2023. The chapter highlights the variance between welfare domains in the objectives set for AI models and the differences between municipal and regional experimentation with welfare, focusing on how they differ with respect to implementation and research goals. While only some of the projects to date have been operationally implemented, several live on as prototypes or partial systems with the potential to transform the welfare state beyond their formal termination.

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