Exploring the Challenges for Artificial Intelligence Adoption and Implementation in EU Public Administrations. Results from a Case Study Analysis

This study explores the challenges public organisations face when adopting and implementing artificial intelligence (AI) solutions, based on insights from eight European case studies. Building on and refining the foundational categorisation by Wirtz et al. (2019), our analysis positions “AI trustworthiness” as a core, cross-cutting challenge that interlinks societal acceptance, regulatory compliance, technological feasibility, and organisational practices. Furthermore, the study introduces “AI organisational and cultural change” as a distinct, previously underexplored category, highlighting the adjustments required in organisational structures and culture for successful AI integration. The findings also underscore differences between the challenges emerging during initial AI adoption phases and those surfacing once systems become operational. Finally, the study offers practical recommendations for policymakers and practitioners to effectively manage the complexities of AI integration in the public sector.

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Publication Details

Journal
Digital Government Research and Practice
Published
2025-11-25
DOI
https://doi.org/10.1145/3776547
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
4.73
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article

Exploring the Challenges for Artificial Intelligence Adoption and Implementation in EU Public Administrations. Results from a Case Study Analysis

A. Paula Rodriguez Müller, Luca Tangi, Colin van Noordt
2 citations
Digital Government Research and Practice
Ethics and Social Impacts of AI
4.73
article

Exploring the Challenges for Artificial Intelligence Adoption and Implementation in EU Public Administrations. Results from a Case Study Analysis

A. Paula Rodriguez Müller, Luca Tangi, Colin van Noordt
article en
2 citations

Abstract

This study explores the challenges public organisations face when adopting and implementing artificial intelligence (AI) solutions, based on insights from eight European case studies. Building on and refining the foundational categorisation by Wirtz et al. (2019), our analysis positions “AI trustworthiness” as a core, cross-cutting challenge that interlinks societal acceptance, regulatory compliance, technological feasibility, and organisational practices. Furthermore, the study introduces “AI organisational and cultural change” as a distinct, previously underexplored category, highlighting the adjustments required in organisational structures and culture for successful AI integration. The findings also underscore differences between the challenges emerging during initial AI adoption phases and those surfacing once systems become operational. Finally, the study offers practical recommendations for policymakers and practitioners to effectively manage the complexities of AI integration in the public sector.

Digital Government Research and PracticeVol. 7(1)
European Commission (BE), Joint Research Centre (IT), Joint Research Center (ES), KU Leuven (BE)
Openalex Percentile: Top 4%
Ethics and Social Impacts of AI
4.73
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