To predict and to manage. Predictive policing in the United States
Bibliographic Data
| ID | 5260396 |
|---|---|
| Authors | Bilel Benbouzid (0000-0002-8515-1718, corresponding author) |
| Year | 2019 |
| Volume | 6 |
| Issue | 1 |
| Publication date | 2019-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2053951719861703 |
| OpenAlex | W2959702042 |
| Language | EN |
| Citations received | 38 |
| References cited | 12 |
This article offers a detailed examination of the content of predictive policing applications. Crime prediction machines are used by governments to shape the moral behavior of police. They serve not only to predict when and where crime is likely to occur, but also to regulate police work. They calculate equivalence ratios, distributing security across the territory based on multiple cost and social justice criteria. Tracing the origins of predictive policing in the Compstat system, this article studies the shift from machines to explore intuitions (where police officers still have control over the machine) to applications removing the reflexive dimension of proactivity, thus turning prediction into the medium for "dosage" metrics of police work quantities. Finally, the article discusses how, driven by a critical movement denouncing the discriminatory biases of predictive machines, developers seek to develop techniques to audit training dataset and ways to calculate the reasonable amount of stop and frisk over the population
Audit · Business · Computer security · Criminal justice · Criminology · Machine learning · Population · Predictive analytics · Predictive modelling · Proactivity · Sociology · Tracing · Computer Science · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · Criminal Justice and Corrections Analysis · Engineering · Psychology · Social Psychology · Accounting
Deterrence or prevention? The challenges of algorithmic crime prediction in urban spaces
Reasoning with algorithms
Zemblanity and Big Data
Automated Government Benefits and Welfare Surveillance
From Banal Surveillance to Function Creep
Pred-Pol-Pov
The The Making of Crime Predictions
Algoritmos de valoración de riesgo
The legitimacy gap of algorithmic decision-making in the public sector
“Somebody’s Watching Me”
Criminal Futures
Policing, Technology, and Public Values
Artificial intelligence, bureaucratic form, and discretion in public service
Discrimination in the gig economy
Predictive policing in action
Data in Policing
Novelty and interdisciplinarity in criminology
On the relevance of Maslow's need theory in the age of artificial intelligence
The affordance-actualization process of predictive analytics
Machines of justice
Governing prediction
Algorithmic policing
Conditions of benefits and risks when algorithmic technology is implemented for public sector policing and fraud detection
Artificial intelligence for the public sector
Body-Worn Camera Policy in Canadian Policing
Artificial intelligence and democracy
Understanding the role of case management systems in criminal investigations
The Effects of Residential Segregation on Black and White Mortality in the United States
Social equity in the data era
Smart criminal justice
Operational Criminology
Civilizing Space or Criminalizing Place
Epistemologies of predictive policing
Data for queer lives
Big data surveillance across fields
COPtimization and the operational banality of policing's technocratic drive
Three shades of 'urban-digital citizenship
Techno-digital policing
| Unique citing works | 38 |
|---|---|
| Citations per year | 6,33 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 29 |