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...
| Publicado en: | Policing & Society Vol. 35; no. 10; pp. 1357 - 1377 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Dec2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | 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. |
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