University of Cambridge > Talks.cam > Centre of Governance and Human Rights Events > ALGORITHMIC PREDICTION IN POLICING: ASSUMPTIONS, EVALUATION AND ACCOUNTABILITY

ALGORITHMIC PREDICTION IN POLICING: ASSUMPTIONS, EVALUATION AND ACCOUNTABILITY

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The goal of predictive policing is to forecast where and when crimes will take place in the future. In less than a decade since its inception, the idea has captured the imagination of police agencies around the world. An increasing number of agencies are purchasing software tools that claim to help reduce crime by mapping the likely locations of future crime to guide the deployment of police resources. Yet the claims and promises of predictive policing have not been subject to critical examination. This paper will provide a long overdue review of the available literature on the theories, techniques and assumptions embedded in various predictive tools. Specifically, it highlights three key issues about the use of algorithmic prediction in policing that researchers and practitioners should be aware of: Assumptions, evaluation and accountability.

This talk is part of the Centre of Governance and Human Rights Events series.

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