“Part Man, Part Machine, All Cop”: Automation in Policing
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 revea...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2021-06-01
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Series: | Frontiers in Artificial Intelligence |
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Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2021.655486/full |
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author | Angelika Adensamer Lukas Daniel Klausner |
author_facet | Angelika Adensamer Lukas Daniel Klausner |
author_sort | Angelika Adensamer |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-17T07:09:08Z |
format | Article |
id | doaj.art-610790e1ce7a46a28e176d22de30dd60 |
institution | Directory Open Access Journal |
issn | 2624-8212 |
language | English |
last_indexed | 2024-12-17T07:09:08Z |
publishDate | 2021-06-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Artificial Intelligence |
spelling | doaj.art-610790e1ce7a46a28e176d22de30dd602022-12-21T21:59:05ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122021-06-01410.3389/frai.2021.655486655486“Part Man, Part Machine, All Cop”: Automation in PolicingAngelika Adensamer0Lukas Daniel Klausner1Vienna Centre for Societal Security, Vienna, AustriaInstitute of IT Security Research, St. Pölten University of Applied Sciences, St. Pölten, AustriaDigitisation, 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.https://www.frontiersin.org/articles/10.3389/frai.2021.655486/fullalgorithmic decision supportautomated decision-makingbiometric identificationfacial recognitionorganisational responsibilitypredictive policing |
spellingShingle | Angelika Adensamer Lukas Daniel Klausner “Part Man, Part Machine, All Cop”: Automation in Policing Frontiers in Artificial Intelligence algorithmic decision support automated decision-making biometric identification facial recognition organisational responsibility predictive policing |
title | “Part Man, Part Machine, All Cop”: Automation in Policing |
title_full | “Part Man, Part Machine, All Cop”: Automation in Policing |
title_fullStr | “Part Man, Part Machine, All Cop”: Automation in Policing |
title_full_unstemmed | “Part Man, Part Machine, All Cop”: Automation in Policing |
title_short | “Part Man, Part Machine, All Cop”: Automation in Policing |
title_sort | part man part machine all cop automation in policing |
topic | algorithmic decision support automated decision-making biometric identification facial recognition organisational responsibility predictive policing |
url | https://www.frontiersin.org/articles/10.3389/frai.2021.655486/full |
work_keys_str_mv | AT angelikaadensamer partmanpartmachineallcopautomationinpolicing AT lukasdanielklausner partmanpartmachineallcopautomationinpolicing |