算法警务:第 1 部分。美国的科技初创企业、风险资本和执法部门

IF 1.5 Q2 ANTHROPOLOGY
Roberto J. González
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引用次数: 0

摘要

本文探讨了算法警务在美国的兴起,重点关注预测性警务平台和面部识别技术。第一部分探讨了 PredPol、Palantir 和 Clearview AI 等公司如何开发数据驱动型工具来预测和预防犯罪并识别嫌疑人。文章分析了这些系统的历史背景、技术发展和执法机构的实施情况。文章还讨论了批评者提出的关切,包括隐私、种族偏见和强化歧视性警务做法的可能性等问题。文章通过案例研究和举例说明了这些技术如何影响社区,尤其是有色人种社区。文章探讨了硅谷初创企业、风险资本和执法部门在形成现代警务实践中的复杂互动关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithmic policing: Part 1. Tech startups, venture capital and law enforcement in America

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.

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来源期刊
Anthropology Today
Anthropology Today ANTHROPOLOGY-
CiteScore
2.30
自引率
7.70%
发文量
71
期刊介绍: Anthropology Today is a bimonthly publication which aims to provide a forum for the application of anthropological analysis to public and topical issues, while reflecting the breadth of interests within the discipline of anthropology. It is also committed to promoting debate at the interface between anthropology and areas of applied knowledge such as education, medicine, development etc. as well as that between anthropology and other academic disciplines. Anthropology Today encourages submissions on a wide range of topics, consistent with these aims. Anthropology Today is an international journal both in the scope of issues it covers and in the sources it draws from.
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