Artificial intelligence, predictive policing, and risk assessment for law enforcement
RA Berk - Annual Review of Criminology, 2021 - annualreviews.org
There are widespread concerns about the use of artificial intelligence in law enforcement.
Predictive policing and risk assessment are salient examples. Worries include the accuracy …
Predictive policing and risk assessment are salient examples. Worries include the accuracy …
A systematic review on spatial crime forecasting
Background Predictive policing and crime analytics with a spatiotemporal focus get
increasing attention among a variety of scientific communities and are already being …
increasing attention among a variety of scientific communities and are already being …
Policing predictive policing
AG Ferguson - Wash. UL Rev., 2016 - HeinOnline
Predictive policing is sweeping the nation, promising the holy grail of policing-preventing
crime before it happens. The technology has far outpaced any legal or political …
crime before it happens. The technology has far outpaced any legal or political …
An empirical analysis of machine learning algorithms for crime prediction using stacked generalization: an ensemble approach
Ensemble learning method is a collaborative decision-making mechanism that implements
to aggregate the predictions of learned classifiers in order to produce new instances. Early …
to aggregate the predictions of learned classifiers in order to produce new instances. Early …
[图书][B] Criminal futures: Predictive policing and everyday police work
This book explores how predictive policing transforms police work. Police departments
around the world have started to use data-driven applications to produce crime forecasts …
around the world have started to use data-driven applications to produce crime forecasts …
Big data and predictive reasonable suspicion
AG Ferguson - U. pa. l. rev., 2014 - HeinOnline
The Fourth Amendment requires" reasonable suspicion" to stop a suspect. 3 As a general
matter, police officers develop this suspicion based on information they know or activities …
matter, police officers develop this suspicion based on information they know or activities …
Mapping the risk terrain for crime using machine learning
AP Wheeler, W Steenbeek - Journal of Quantitative Criminology, 2021 - Springer
Objectives We illustrate how a machine learning algorithm, Random Forests, can provide
accurate long-term predictions of crime at micro places relative to other popular techniques …
accurate long-term predictions of crime at micro places relative to other popular techniques …
Predictive policing and reasonable suspicion
AG Ferguson - Emory LJ, 2012 - HeinOnline
The future of policing blinks on a computer screen in downtown Los Angeles. 2 On that
screen, police have predicted the next area of potential criminal activity. 3 Based on crime …
screen, police have predicted the next area of potential criminal activity. 3 Based on crime …
Risk clusters, hotspots, and spatial intelligence: risk terrain modeling as an algorithm for police resource allocation strategies
The study reported here follows the suggestion by Caplan et al.(Justice Q, 2010) that risk
terrain modeling (RTM) be developed by doing more work to elaborate, operationalize, and …
terrain modeling (RTM) be developed by doing more work to elaborate, operationalize, and …
Testing for temporally differentiated relationships among potentially criminogenic places and census block street robbery counts
CP Haberman, JH Ratcliffe - Criminology, 2015 - Wiley Online Library
This study examined street robbery patterns in Philadelphia, Pennsylvania, from the years
2009 to 2011 to determine whether the effects of potentially criminogenic places are different …
2009 to 2011 to determine whether the effects of potentially criminogenic places are different …