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September 28, 2025Public Administration19 citationsOpen Access

Algorithmic Governance: Experimental Evidence on Citizens' and Public Administrators' Legitimacy Perceptions of Automated Decision‐Making

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JHJaakko HilloIVIsak VentoTETero Erkkilä

Key Points

  • Perceived legitimacy of automated decision-making improves with algorithmic transparency and human discretion.
  • Public administrators and citizens exhibit varying views on legitimacy, emphasizing the need for citizen inclusion.
  • Large treatment effects on legitimacy perceptions were observed, particularly among public administrators.
  • Findings highlight the necessity of aligning citizen preferences with policy implementation in AI governance.

Abstract

ABSTRACT This article investigates legitimacy perceptions of automated decision‐making (ADM) among public administrators and citizens. Views of public administrators, who exercise discretion over policy implementation, reflect readiness to integrate AI into decision‐making. Governing by AI ought also to be responsive to the view of citizens, whose support democratic governing ultimately rests on. As AI use in governing grows, understanding the elite‐mass opinion congruence is crucial, and incongruence suggest misalignment between citizen preferences and policy implementation. Using randomized survey experiments conducted among Finnish toplevel public administrators ( N = 842) and a representative sample of citizens ( N = 3245), we compare the legitimacy effects of algorithmic transparency and human discretion over decision‐making in the context of child protection services. Transparency and human discretion enhance perceived legitimacy, with larger treatment effects among administrators. The study concludes that ADM legitimacy theories extend to a Nordic welfare context.

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Cite This Study

Hillo et al. (2025) studied this question.

synapsesocial.com/papers/68d9052541e1c178a14f53d8https://doi.org/10.1111/padm.70028
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