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Front. Artif. Intell. | doi: 10.3389/frai.2021.655486

"Part Man, Part Machine, All Cop": Automation in Policing Provisionally accepted The final, formatted version of the article will be published soon. Notify me

  • 1St. Pölten University of Applied Sciences, Austria
  • 2Vienna Centre for Societal Security, Austria

Digitisation, automation and datafication permeate policing and justice more and more each year – from predictive policing methods through recidivism prediction to automated biometric identification at the border. The sociotechnical issues surrounding the use of such systems raise questions and reveal problems, both old and new. Our article reviews contemporary issues surrounding automation in policing and the legal system, finds common issues and themes in various different examples, introduces the distinction between human “retail bias” and algorithmic “wholesale bias”, and argues for shifting the viewpoint on the debate to focus on both workers' rights and organisational responsibility as well as fundamental rights and the right to an effective remedy.

Keywords: algorithmic decision support, Automated decision-making, Biometric Identification, facial recognition, organisational responsibility, Predictive policing, Right to effective remedy, Right to privacy

Received: 18 Jan 2021; Accepted: 26 Feb 2021.

Copyright: © 2021 Klausner and Adensamer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Lukas Daniel Klausner, St. Pölten University of Applied Sciences, St Pölten, Austria,