Application of Big Data in Public Security Governance: Dilemma, Risk and Optimization Path

Xin Xie, Xiaofeng Luo
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引用次数: 0

Abstract

— In public security governance, big data is playing an increasingly important role, which also puts forward higher requirements for the comprehensive utilization ability of data and data mining and analysis ability of public security organs. At present, there are some problems in the application of big data in public security governance, such as the lack of effective integration of data, weak data processing ability and low quality of data collection, as well as the risk that citizens' privacy is easily violated, algorithm discrimination, data leakage and illegal use. We need to optimize the application of big data in public security governance by integrating and sharing data resources, improving technology application level, improving data collection quality, strengthening data security protection and promoting the integrated development of big data, artificial intelligence and police blockchain in public security governance.
大数据在公安治理中的应用:困境、风险与优化路径
——在公安治理中,大数据发挥着越来越重要的作用,这也对公安机关的数据综合利用能力和数据挖掘分析能力提出了更高的要求。目前,大数据在公安治理中的应用存在数据缺乏有效整合、数据处理能力弱、数据采集质量低等问题,以及公民隐私容易被侵犯、算法歧视、数据泄露和非法使用等风险。优化大数据在公共安全治理中的应用,整合共享数据资源,提高技术应用水平,提高数据采集质量,加强数据安全保护,促进大数据、人工智能、警务在公共安全治理中的融合发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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