1. A debiasing technique for place-based algorithmic patrol management
- Author
-
Einarsson, Alexander, Oestmo, Simen, Wollman, Lester, Purves, Duncan, and Jenkins, Ryan
- Subjects
Computer Science - Computers and Society ,Computer Science - Artificial Intelligence - Abstract
In recent years, there has been a revolution in data-driven policing. With that has come scrutiny on how bias in historical data affects algorithmic decision making. In this exploratory work, we introduce a debiasing technique for place-based algorithmic patrol management systems. We show that the technique efficiently eliminates racially biased features while retaining high accuracy in the models. Finally, we provide a lengthy list of potential future research in the realm of fairness and data-driven policing which this work uncovered., Comment: 20 pages (91 Appendix pages), 6 figures (20 supplementary figures), 14 supplementary tables
- Published
- 2023