Against Prediction: Profiling, Policing, and Punishing in an

Por um escritor misterioso

Descrição

From random security checks at airports to the use of risk assessment in sentencing, actuarial methods are being used more than ever to determine whom law enforcement officials target and punish. And with the exception of racial profiling on our highways and streets, most people favor these methods because they believe they’re a more cost-effective way to fight crime.In Against Prediction, Bernard E. Harcourt challenges this growing reliance on actuarial methods. These prediction tools, he demonstrates, may in fact increase the overall amount of crime in society, depending on the relative responsiveness of the profiled populations to heightened security. They may also aggravate the difficulties that minorities already have obtaining work, education, and a better quality of life—thus perpetuating the pattern of criminal behavior. Ultimately, Harcourt shows how the perceived success of actuarial methods has begun to distort our very conception of just punishment and to obscure alternate visions of social order. In place of the actuarial, he proposes instead a turn to randomization in punishment and policing. The presumption, Harcourt concludes, should be against prediction.

Against Prediction: Profiling, Policing, and Punishing in an

Table 4 from Fairness in Criminal Justice Risk Assessments: The State of the Art

PDF) Algorithmic prediction in policing: assumptions, evaluation, and accountability

Big Data Surveillance: The Case of Policing - Sarah Brayne, 2017

Against Prediction: #Ferguson

Punishing the Poor

Bernard E. Harcourt's Critical Reads

On the Need for Scientific Experimentation in the Criminal Profiling Field: A Reply to Dern and Colleagues - Brent Snook, Paul J. Taylor, Paul Gendreau, Craig Bennell, 2009