JOURNAL ARTICLE
Algorithmic policing: Part 1. Tech startups, venture capital and law enforcement in America.
Published In: Anthropology Today, 2024, v. 40, n. 5. P. 23 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: González, Roberto J. 3 of 3
Abstract
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. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Anthropology Today. 2024/10, Vol. 40, Issue 5, p23
- Document Type:Article
- Subject Area:Communication and Mass Media
- Publication Date:2024
- ISSN:0268-540X
- DOI:10.1111/1467-8322.12916
- Accession Number:180045180
- Copyright Statement:Copyright of Anthropology Today is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.