Accessing problems in predictive policing in the US

Predictive policing technologies have recently caught the attention of the wider public after Santa Cruz became the first country in the US to shut down facial recognition technologies and heatmap predictive technologies. In this essay, I argue that we should adopt three principles that can help us...

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Main Author: Lim, Xinhui
Other Authors: Preston Huw Richards Greene
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/147318
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1473182023-03-11T20:10:47Z Accessing problems in predictive policing in the US Lim, Xinhui Preston Huw Richards Greene School of Humanities PGreene@ntu.edu.sg Humanities::Philosophy Predictive policing technologies have recently caught the attention of the wider public after Santa Cruz became the first country in the US to shut down facial recognition technologies and heatmap predictive technologies. In this essay, I argue that we should adopt three principles that can help us ethically modify and adjust current and future predictive policing technology. We explore the main benefits of adopting such technology, being that it deters future crime and increases our crime detection capabilities. On the flip side, we also explore how dirty data input, biased generated reports and the prevalence of false positives weakens current technological effectiveness. Lastly, I argue that objectivity, transparency, and accountability can help to mitigate some of the issues present in current technology. Bachelor of Arts in Philosophy 2021-03-31T06:34:14Z 2021-03-31T06:34:14Z 2021 Final Year Project (FYP) Lim, X. (2021). Accessing problems in predictive policing in the US. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147318 https://hdl.handle.net/10356/147318 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Humanities::Philosophy
spellingShingle Humanities::Philosophy
Lim, Xinhui
Accessing problems in predictive policing in the US
description Predictive policing technologies have recently caught the attention of the wider public after Santa Cruz became the first country in the US to shut down facial recognition technologies and heatmap predictive technologies. In this essay, I argue that we should adopt three principles that can help us ethically modify and adjust current and future predictive policing technology. We explore the main benefits of adopting such technology, being that it deters future crime and increases our crime detection capabilities. On the flip side, we also explore how dirty data input, biased generated reports and the prevalence of false positives weakens current technological effectiveness. Lastly, I argue that objectivity, transparency, and accountability can help to mitigate some of the issues present in current technology.
author2 Preston Huw Richards Greene
author_facet Preston Huw Richards Greene
Lim, Xinhui
format Final Year Project
author Lim, Xinhui
author_sort Lim, Xinhui
title Accessing problems in predictive policing in the US
title_short Accessing problems in predictive policing in the US
title_full Accessing problems in predictive policing in the US
title_fullStr Accessing problems in predictive policing in the US
title_full_unstemmed Accessing problems in predictive policing in the US
title_sort accessing problems in predictive policing in the us
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/147318
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