中国的预测性警务

Daniel Sprick
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引用次数: 0

摘要

中国公安部队正在使用越来越多的技术来推动警务工作的“信息化”。因此,应用基于大数据分析的分析技术来解决过去的犯罪或预防未来的犯罪是中国技术主导警务方法的关键组成部分。中国为维护社会稳定而采取的整体政策方法涵盖了越来越多的社会问题,其警察部队在新技术上的大量投资以及其首要的安全目标,显然取代了对隐私或透明度的关注,这可能被认为非常有利于在中国建立有效的预测性警务。然而,本文认为,预测性警务在中国的应用存在严重缺陷,因为预测性警务的系统性风险和陷阱无法减轻,反而会因中国的警务方法和刑事司法系统而加剧。因此,可以预期,预测性警务在中国将主要是一种更精细的工具,用于警察有选择性地镇压已经有针对性的群体,而不会大幅减少犯罪或提高整体安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive Policing in China
China’s public security forces are employing more and more technology in their push for an ‘informatization (信息化)’ of their police work. The application of analytical techniques for solving past crimes or preventing future crimes based on big data analysis is thereby a key component of China’s approach for technology-led policing. China’s holistic policy approach for the purpose of maintaining social stability that is encompassing an ever-growing range of societal issues, the vast investments of its police forces in new technologies and its paramount objective of security, that clearly supersedes inter alia concerns of privacy or transparency, may be considered extremely conducive to the establishment of effective predictive policing in China. This paper however argues, that the application of predictive policing in China is heavily flawed as the systemic risks and pitfalls of predictive policing cannot be mitigated but are rather exacerbated by China’s approach towards policing and its criminal justice system. It is therefore to be expected that predictive policing in China will mainly be a more refined tool for the selective suppression of already targeted groups by the police and does not substantially reduce crime or increase overall security.
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