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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/147318 |
| _version_ | 1811690834209275904 |
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| author | Lim, Xinhui |
| author2 | Preston Huw Richards Greene |
| author_facet | Preston Huw Richards Greene Lim, Xinhui |
| author_sort | Lim, Xinhui |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T06:10:17Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/147318 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:10:17Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Humanities::Philosophy Lim, Xinhui Accessing problems in predictive policing in the US |
| title | 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_short | Accessing problems in predictive policing in the US |
| title_sort | accessing problems in predictive policing in the us |
| topic | Humanities::Philosophy |
| url | https://hdl.handle.net/10356/147318 |
| work_keys_str_mv | AT limxinhui accessingproblemsinpredictivepolicingintheus |