Algorithmic policing: Part 1. Tech startups, venture capital and law enforcement in America

被引:0
|
作者
Gonzalez, Roberto J. [1 ]
机构
[1] San Jose State Univ, Anthropol, San Jose, CA 95192 USA
关键词
D O I
10.1111/1467-8322.12916
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
This article examines the rise of algorithmic policing in the United States, focusing on predictive policing platforms and facial recognition technologies. Part 1 explores how companies like PredPol, Palantir and Clearview AI have developed data-driven tools to predict and prevent crime and identify suspects. The article analyses the historical context, technological development and implementation of these systems by law enforcement agencies. It also discusses the concerns raised by critics, including issues of privacy, racial bias and the potential for reinforcing discriminatory policing practices. Through case studies and examples, the article illustrates how these technologies have impacted communities, particularly communities of colour. It examines the complex interplay between Silicon Valley startups, venture capital and law enforcement in shaping modern policing practices.
引用
收藏
页码:23 / 27
页数:5
相关论文
共 44 条