Predictive Policing and Artificial Intelligence 2021
DOI: 10.4324/9780429265365-5
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Policing, AI and choice architecture

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Cited by 3 publications
(4 citation statements)
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“…In addition, unlike many traditional crimes, crimes in the digital realm are often highly replicable: once developed, techniques can be shared, replicated, or even sold, enabling potential marketing of criminal techniques or the provision of "crime as a service". This can lead to a decrease in technological barriers as criminals can redirect more challenging aspects of their AI-based crimes (McDaniel & Pease, 2021).…”
Section: Ai and Iot Become Threats And Potential Crimesmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, unlike many traditional crimes, crimes in the digital realm are often highly replicable: once developed, techniques can be shared, replicated, or even sold, enabling potential marketing of criminal techniques or the provision of "crime as a service". This can lead to a decrease in technological barriers as criminals can redirect more challenging aspects of their AI-based crimes (McDaniel & Pease, 2021).…”
Section: Ai and Iot Become Threats And Potential Crimesmentioning
confidence: 99%
“…Data from various sources, including in various forms, including various forms, such as searching, producing, recording, and sensing activities. This data is used in predictive policing to develop forecast about outcomes, followed by policing actions (McDaniel & Pease, 2021).…”
Section: Ai and Iot Are The Future For The Police In Smart Policing A...mentioning
confidence: 99%
“…There is a growing interest in considering the ethical, political, legal, policy, and organizational challenges while using AI within critical sectors such as healthcare (Sun and Medaglia 2019). Some sectors in government such as policing has seen uptake of AI—especially, predictive policing AI (e.g., PredPol1)—notwithstanding emerging understandings that paint a more nuanced, and often negative, picture of trade‐offs between benefits and harms (McDaniel and Pease 2021). Yet, in the light of growing acceptance of AI as a significant technology, it has been forecasted that there would be enhanced adoption of AI within government, potentially freeing up one‐third of public servants' time (Berryhill et al.…”
Section: Introductionmentioning
confidence: 99%
“…Once looking at the outputs (of both existing tools and of planned outputs for tools under development), it is easy to see that some AI applications have negative implications on human beings (e.g., Davenport and Miller 2022). For instance, AI that is harnessed for predictive policing often tends to be discriminatory (Alikhademi et al 2021;Berk 2021;Kemper 2019;McDaniel and Pease 2021;Zuboff 2019: 386), and AI harnessed for the intensification of the workflow often creates an intolerable work environment (Adams-Prassl 2019; Arnold et al 2018;Moore 2019;Todolí-Signes 2021). Assuming one concurs with the negative-normative assertions of the examples above, it is clear that, in these cases, the contributions to the proliferation of means of surveillance are only adding insult to injury and cannot be justified by their "positive impact.…”
mentioning
confidence: 99%