This literature review illuminates the conceptualization of predictive policing, and also its
potential and realized benefits and drawbacks. The review shows a discrepancy between …

Background In recent years, crime scholars and practitioners have pointed to the potential
benefits of focusing crime prevention efforts on crime places. A number of studies suggest …

This article examines the intersection of two structural developments: the growth of
surveillance and the rise of “big data.” Drawing on observations and interviews conducted …

In a high-tech command center in downtown Los Angeles, a digital map lights up with 911
calls, television monitors track breaking news stories, surveillance cameras sweep the …

Proactive policing, as a strategic approach used by police agencies to prevent crime, is a
relatively new phenomenon in the United States. It developed from a crisis in confidence in …

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Predictive policing systems are increasingly used to determine how to allocate police across
a city in order to best prevent crime. Discovered crime data (eg, arrest counts) are used to …

The number of predictive technologies used in the US criminal justice system is on the rise.
Yet there is little research to date on the reception of algorithms in criminal justice …

Convolutional neural networks (CNNs) offer great machine learning performance over a
range of applications, but their operation is hard to interpret, even for experts. Various …

Algorithms (in some form) are already widely used in the criminal justice system. We draw
lessons from this experience for what is to come for the rest of society as machine learning …