ABSTRACT
In recent years, with growing concerns of making predictive policing less-biased and less-risky, the HCI and CSCW research communities have focused on designing more explainable and accountable algorithms in the criminal justice system. In this extended abstract, we present a preliminary, qualitative analysis of the perceptions of people with different backgrounds (n=60) from Milwaukee, USA on algorithmic crime mapping. Our initial results suggest the need for algorithmic interaction and the database transparency of the system. Taken these suggestions together will inspire to design an explainable crime mapping algorithms that pay attention to the values and needs of law enforcement and common peoples.
- Ali Alkhatib and Michael Bernstein. 2019. Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI '19). Association for Computing Machinery, New York, NY, USA, 1--13. https://doi.org/10.1145/3290605.3300760Google ScholarDigital Library
- Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77--101.Google Scholar
- Spencer Chainey and Jerry Ratcliffe. 2013. GIS and crime mapping. John Wiley & Sons.Google Scholar
- Spencer Chainey, Lisa Tompson, and Sebastian Uhlig. 2008. The Utility of Hotspot Mapping for Predicting Spatial Patterns of Crime. Security Journal 21, 1--2 (Feb. 2008), 4--28. https://doi.org/10.1057/palgrave.sj.8350066Google ScholarCross Ref
- Julia Deeb-Swihart, Alex Endert, and Amy Bruckman. 2019. Understanding Law Enforcement Strategies and Needs for Combating Human Trafficking. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI '19). Association for Computing Machinery, New York, NY, USA, 1--14. https://doi.org/10. 1145/3290605.3300561Google ScholarDigital Library
- Milwaukee Police Department. [n.d.]. Crime Maps Statistics. Retrieved June 30, 2020 from https://city.milwaukee.gov/ Directory/police/Crime-Maps-and-Statistics.htm#.XvuxXJNKi-YGoogle Scholar
- John Eck, Spencer Chainey, James Cameron, and R Wilson. 2005. Mapping crime: Understanding hotspots.(2005).Google Scholar
- MD Romael Haque, Katherine Weathington, and Shion Guha. 2019. Exploring the Impact of (Not) Changing Default Se?ings in Algorithmic Crime Mapping - A Case Study of Milwaukee, Wisconsin. In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing (Austin, TX, USA) (CSCW '19). Association for Computing Machinery, New York, NY, USA, 206--210. https://doi.org/10.1145/3311957.3359500Google ScholarDigital Library
- S. D. Johnson, K. Bowers, and A. Hirschfield. 1997. NEW INSIGHTS INTO THE SPATIAL AND TEMPORAL DISTRIBUTION OF REPEAT VICTIMIZATION. The British Journal of Criminology 37, 2 (1997), 224--241. http://www.jstor.org/stable/ 23638645Google ScholarCross Ref
- David M. Kennedy, Anthony A. Braga, Anne M. Piehl, and David M. Kennedy Et Al. 1997. The (un)known universe: Mapping gangs and gang violence in Boston. https://citeseerx.ist.psu.edu/viewdoc/similar?doi=10.1.1.483.6248&type=abGoogle Scholar
- M.R. Leipnik and D.P. Albert. 2002. GIS in Law Enforcement: Implementation Issues and Case Studies. Taylor & Francis. https://books.google.com/books?id=EyyDRiVZKRcCGoogle ScholarCross Ref
- Inc Location. [n.d.]. Custom Analytics to Invest, Appraise, or Finance Real Estate. Retrieved June 30, 2020 from https://www.neighborhoodscout.com/Google Scholar
- Andreas M. Olligschlaeger. 1998. Artificial neural networks and crime mapping.Google Scholar
- Rutgers Center on Public Security. [n.d.]. CRISK TERRAIN MODELING. Retrieved June 30, 2020, from https://www.riskterrainmodeling.com/Google Scholar
- Michael Veale, Max Van Kleek, and Reuben Binns. 2018. Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI '18). Association for Computing Machinery, New York, NY, USA, 1--14. https://doi.org/10.1145/3173574.3174014Google ScholarDigital Library
- Nitya Verma and Lynn Dombrowski. 2018. Confronting Social Criticisms: Challenges When Adopting Data-Driven Policing Strategies. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI '18). Association for Computing Machinery, New York, NY, USA, 1--13. https://doi.org/10.1145/3173574.3174043Google ScholarDigital Library
- David Weisburd and Cynthia Lum. 2005. The Diffusion of Computerized Crime Mapping in Policing: Linking Research and Practice. Police Practice and Research 6, 5 (2005), 419--434. https://doi.org/10.1080/15614260500433004 arXiv:https://doi.org/10.1080/15614260500433004Google ScholarCross Ref
Index Terms
- Understanding Law Enforcement and Common Peoples' Perspectives on Designing Explainable Crime Mapping Algorithms
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