Bureaucratic accountability: enabler or barrier for algorithm use?

This article examines the impact of bureaucratic accountability structures on public servants’ attitudes toward algorithmic decision-making systems (ADS) in public administration, particularly within the under-researched context of the Global South. It employs accountability theory and algorithm aversion theory to explore how internal organizational accountability influences the adoption of technology in governance. The main question, “How do bureaucratic accountability structures affect public servants’ disposition toward algorithm use?” is investigated through a case study at the Chilean Instituto de Previsión Social (IPS). Findings indicate that well-defined accountability structures can significantly enhance trust in ADS, leading public officials to favor algorithmic decisions due to their perceived reliability and clarity in role responsibilities. With this, the article contributes to an under-researched dimension by linking accountability structures with technology adoption in public administrations, offering insights that could help shape organizational and policy frameworks for integrating ADS more effectively in governance settings.

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Publication Details

Journal
Policy Design and Practice
Published
2025-11-19
DOI
https://doi.org/10.1080/25741292.2025.2578064
Citations
1
Primary Topic
E-Government and Public Services
Type
article
Field-Weighted Citation Impact
8.52
Controls
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article

Bureaucratic accountability: enabler or barrier for algorithm use?

Sarah Giest, Brecht Weerheijm, Manuel Galdames
1 citations
Policy Design and Practice
E-Government and Public Services
8.52
article

Bureaucratic accountability: enabler or barrier for algorithm use?

Sarah Giest, Brecht Weerheijm, Manuel Galdames
article en
1 citations

Abstract

This article examines the impact of bureaucratic accountability structures on public servants’ attitudes toward algorithmic decision-making systems (ADS) in public administration, particularly within the under-researched context of the Global South. It employs accountability theory and algorithm aversion theory to explore how internal organizational accountability influences the adoption of technology in governance. The main question, “How do bureaucratic accountability structures affect public servants’ disposition toward algorithm use?” is investigated through a case study at the Chilean Instituto de Previsión Social (IPS). Findings indicate that well-defined accountability structures can significantly enhance trust in ADS, leading public officials to favor algorithmic decisions due to their perceived reliability and clarity in role responsibilities. With this, the article contributes to an under-researched dimension by linking accountability structures with technology adoption in public administrations, offering insights that could help shape organizational and policy frameworks for integrating ADS more effectively in governance settings.

Policy Design and PracticeVol. 9(1)
Leiden University (NL), University of Applied Sciences Leiden (NL)
Openalex Percentile: Top 3%
E-Government and Public Services
8.52
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