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实战导向下公安情指行工作的优化路径与展望研究

Outlook of Public Security Situation, Command and Operation under Strong AI Applications

Progress in Social Sciences / 2025,7(12): 959-964 / 2025-12-23 13 8

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• Authors: 姜昀含 田鹏岳 朱荣军
• Information:

  江苏警官学院，南京

• Keywords:
  Artificial Intelligence; Public security intelligence-command-operation; Data fusion; Talent cultivation; Unified platform database; Ethical and legal challenges; Smart policing
  人工智能; 公安情指行; 数据融合; 人才培养; 统一平台数据库; 伦理法律挑战; 智慧警务
• Abstract: Against the backdrop of increasingly fierce global technological competition and growing complexity in social security situations, the application of strong artificial intelligence in public security intelligence, command, and operation work holds significant practical importance. This paper looks ahead at public security intelligence, command, and operation work in terms of intelligence, command, and operations, arguing that strong AI can enhance precise intelligence collection and efficient analysis, optimize command decision-making processes and improve command efficiency, empower police operations while enhancing operational safety. Meanwhile, it introduces practices such as deeply integrating artificial intelligence into police databases to break down data barriers and efficiently integrate data utilization; promoting deep integration of intelligence, command, and operations to build synergistic mechanisms; and cultivating outstanding talent, establishing personnel training systems, and updating knowledge structures. The paper also points out challenges in technological applications, including technical bottlenecks and ethical-legal issues. In the conclusion, it emphasizes that seizing opportunities and addressing challenges are crucial for public security intelligence, command, and operation work to achieve high-quality development through strong artificial intelligence, thereby promoting the transformation of public security intelligence, command, and operation work towards higher levels of intelligence and integration. 在全球科技竞争日益激烈以及社会治安形势愈发复杂的背景下，强人工智能应用于公安情指行工作具有重要的现实意义。本文对公安情指行工作在情报、指挥、行动方面进行了展望，认为强人工智能将助力实现精准情报收集与高效研判、优化指挥决策流程并提升指挥效率、赋能警务行动且增强行动安全性。同时，介绍了将人工智能深度接入警用数据库，打破数据壁垒并高效融合利用数据；推动情指行三者深度融合，构建融合机制以发挥协同效应；以及培育优秀人才，构建人才培养体系并更新知识结构等做法。本文同时指出技术应用中的技术瓶颈、伦理法律等挑战，并在结语强调，把握机遇、应对挑战，对公安情指行工作借助强人工智能实现高质量发展至关重要，以推动公安情指行工作向更高水平的智慧化、一体化转型。
• DOI: https://doi.org/10.35534/pss.0712162 (registering DOI)
• Cite: 姜昀含，田鹏岳，朱荣军．实战导向下公安情指行工作的优化路径与展望研究［J］．社会科学进展，2025，7（12）：959-964．