How Public Officials Perceive Algorithmic Discretion: A Study of Status Quo Bias in Policing.

Algorithms are disrupting established decision‐making practices in public administration. A key area of interest lies in algorithmic discretion or how public officials use algorithms to exercise discretion. The article develops a framework to explain algorithmic discretion by drawing on status quo b...

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Published in:Public Administration Review Vol. 85; no. 5; pp. 1385 - 1398
Main Authors: Afzal, Muhammad, Panagiotopoulos, Panos
Format: Article
Published: Wiley-Blackwell Sep/Oct2025
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Sep/Oct2025
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      tig:
        atl: How Public Officials Perceive Algorithmic Discretion: A Study of Status Quo Bias in Policing.
      aug:
        au:
          Afzal, Muhammad
          Panagiotopoulos, Panos
        affil: School of Business & Management, Queen Mary University of London, London, UK
      su:
        Police
        Resistance to change
        Public officers
        Cognitive bias
        Switching costs
        Rational-legal authority
        Statistical decision making
        Loss aversion
      sug:
        subj:
          Police
          Resistance to change
          Public officers
          Federal police services
          Provincial police services
          Municipal police services
          Police Protection
          Cognitive bias
          Switching costs
          Rational-legal authority
          Statistical decision making
          Loss aversion
      keyword:
        algorithmic discretion
        policing
        status quo bias
        algorithmic discretion
        policing
        status quo bias
      ab: Algorithms are disrupting established decision‐making practices in public administration. A key area of interest lies in algorithmic discretion or how public officials use algorithms to exercise discretion. The article develops a framework to explain algorithmic discretion by drawing on status quo bias theory and bureaucratic discretion. A study with police officers in the UK shows that—while officers still value their discretion—it is resistance via the aspects of status quo bias that accounts for a more substantial explanation. Transition costs, loss aversion, and performance uncertainty determine resistance and, in turn, reluctance to delegate discretion to algorithms. The study contributes to public administration research that demonstrates the influence of cognitive biases in the increasing use of algorithms in areas like policing. The article concludes with recommendations for embedding algorithmic discretion into the professional development of public officials to mitigate sources of status quo bias.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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