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Public perception of algorithmic policing in a non-democratic context: evidence from Kazakhstan.

Governments around the world use advanced computer algorithms and data-driven systems to enhance their law enforcement systems. Research on public attitudes towards the use of such algorithmic policing in non-democratic countries remains scarce. Our study addresses this gap by exploring attitudinal...

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Published in:Policing & Society Vol. 35; no. 10; pp. 1357 - 1377
Main Authors: Gritsenko, Daria, Trochev, Alexei, Vehkalahti, Kimmo
Format: Article
Published: Taylor & Francis Ltd Dec2025
Subjects:
Kazakhstan
Authoritarianism
Totalitarianism
Public opinion
Predictive policing
Administrative efficiency
Digital technology
Reforms
Online Access:View this record in EBSCOhost
Summary:Governments around the world use advanced computer algorithms and data-driven systems to enhance their law enforcement systems. Research on public attitudes towards the use of such algorithmic policing in non-democratic countries remains scarce. Our study addresses this gap by exploring attitudinal factors influencing the acceptance of algorithmic policing in a non-democratic regime with a novel dataset from a survey conducted in Kazakhstan in May 2023 (N = 1748). Our findings contribute to the literature on algorithmic policing and authoritarian digitalisation, demonstrating how algorithmic tools become a part of the 'authoritarian bargain' to deliver governance efficiency without political reforms.