Reform predictive policing

Shapiro, Aaron

doi:10.1038/541458a

Cited by 86 publications

(57 citation statements)

References 4 publications

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“…Exaggerated claims have been made about the predictive power of big data in determining a range of behavior such as recidivism rates, which impact judges' decisions around sentencing (Angwin et al, 2016), and the application of predictive policing which uses algorithms to forecast who may commit a crime and likelihood of occurrence. Despite its widespread adoption, predictive policing is subject to bias and difficult to evaluate (Braga, 2007;Shapiro, 2017;van Brakel, 2016). For example, offender-based modeling algorithms were found to misidentify low-risk black defendants as high risk and high-risk white defendants as low risk (Angwin et al, 2016).…”

Section: Ethicsmentioning

confidence: 99%

The age of cyberpsychology: An overview.

Ancis¹

2020

Technology, Mind, and Behavior

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This article serves as an overview and introduction to the discipline of cyberpsychology. Research and scholarship on the interaction of technology and human behavior through the lens of psychology has exploded, and relatedly the field of cyberpsychology. The internet has transformed social interactions, communication patterns, and even our identities. Research literature and presentations in the area of cyberpsychology have primarily attended to personality variables, perceptual processes, emotional functioning, and behavioral responses. Five major areas identified in the literature as especially relevant to the field are examined, including online behavior and personality; social media use and psychological functioning; games and gaming; telepsychology; and virtual reality, artificial intelligence, and applications. In addition, future directions in cyberpsychology as it relates to ethics, clinical work, age and disability, education and training, and research are discussed. As the field of cyberpsychology is relatively in its infancy, psychologists are well positioned to inform this innovative discipline through interdisciplinary collaborations.

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Section: Ethicsmentioning

confidence: 99%

The age of cyberpsychology: An overview.

Ancis¹

2020

Technology, Mind, and Behavior

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“…The local maritime authorities should conduct randomized and controlled trials to optimize inspection strategies. They can borrow experiences from predictive policing schemes that use machine learning in some cities to fight crime 11 . Developed nations should provide aid for developing nations to ensure uniform standards.…”

Section: Three Prioritiesmentioning

confidence: 99%

Human errors are behind most oil-tanker spills

Wan¹,

Chen²

2018

Nature

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“…Hunt et al 2014) to approaches using machine learning or neural networks which fall in the scope of artificial intelligence (e.g. HunchLab, see Shapiro 2017).…”

Section: Applied Predictive Policing and Application In The P4 Pilotmentioning

confidence: 99%

Predictive Policing in the Context of Residential Burglary: An Empirical Illustration on the Basis of a Pilot Project in Baden-Württemberg, Germany

Gerstner

2018

Eur J Secur Res

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Predictive policing has become an important issue in recent times, and different applications have been implemented in different countries. With a remarkable increase in residential burglaries in Germany during the last years, several placebased predictive policing strategies have been applied for this type of offence. In the federal state of Baden-Württemberg, the "pilot project predictive policing" (P4) was started in October 2015. The project was designed to produce open-ended and unbiased results and therefore included an external scientific evaluation. The article describes how predictive policing was applied in the P4 pilot and summarizes the main findings of the evaluation study. As predictive policing is more than making predictions, the article sheds light on different aspects of a "prediction-led policing business process" (Perry et al., Predictive policing: the role of crime forecasting in law enforcement operations, Rand Corporation, Santa Monica, 2013). Despite some positive findings, the impact on crime remains unclear and the size of crime reducing effects appears to be moderate. Within the police force, the acceptance of predictive policing is a divisive issue. Future research is recommended.

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Reform predictive policing

Cited by 86 publications

References 4 publications

The age of cyberpsychology: An overview.

The age of cyberpsychology: An overview.

Human errors are behind most oil-tanker spills

Predictive Policing in the Context of Residential Burglary: An Empirical Illustration on the Basis of a Pilot Project in Baden-Württemberg, Germany

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