Record link: 
http://hdl.handle.net/20.500.12708/150330
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Title: 
Bias and Fairness in Computer Vision Applications of the Criminal Justice System
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Citation: 
Noiret, S., Lumetzberger, J., & Kampel, M. (2022). Bias and Fairness in Computer Vision Applications of the Criminal Justice System. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE Symposium Series on Computational Intelligence IEEE SSCI 2021, Orlando, United States of America (the). https://doi.org/10.1109/SSCI50451.2021.9660177
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Publisher DOI: 
10.1109/SSCI50451.2021.9660177
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Noiret, Sophie 
Lumetzberger, Jennifer 
Kampel, Martin 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Published in: 
2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings 
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ISBN: 
9781728190488
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Date (published): 
2022
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Event name: 
IEEE Symposium Series on Computational Intelligence IEEE SSCI 2021 
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Event date: 
4-Dec-2022 - 7-Dec-2022
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Event place: 
Orlando, United States of America (the)
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Peer reviewed: 
Yes
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Keywords: 
Criminal Justice System; Fairness and Bias; Fairness in AI; Computer Vision
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Abstract: 
Discriminatory practices involving AI -driven police work have been the subject of much controversies in the past few years, with algorithms such as COMPAS, PredPol and ShotSpotter being accused of unfairly impacting minority groups. At the same time, the issues of fairness in machine learning, and in particular in computer vision, have been the subject of a growing number of academic works. In this paper, we examine how these area intersect. We provide information on how these practices have come to exist and the difficulties in alleviating them. We then examine three applications currently in development to understand what risks they pose to fairness and how those risks can be mitigated.
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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Appears in Collections:
Conference Paper

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