“智慧公安”建设中人工智能技术应用的挑战与思考——基于乐清公安的实践探索

Challenges and Reflections on the Application of Artificial Intelligence Technology in the Construction of “Smart Public Security”——Based on the Practical Exploration of Yueqing Police Force

近年来,随着算法、算力爆炸式发展,人工智能技术快速迭代。特别是2022年底以来,生成式人工智能异军突起,人工智能向通用人工智能迈进。公安机关“智慧公安”建设的目标是推动警务工作从预警走向预测,实现智慧智能,而能够自我学习、迭代升级的人工智能技术成为推动这一过程的关键所在。但实际操作中,人工智能技术往往只作为局部亮点工作,缺乏全局考量和深层次拓展,特别是面向最新人工智能技术的探索实践还缺少系统梳理总结。为此,乐清公安在上级“智慧公安”建设总体框架要求下,系统梳理分析人工智能技术在县域“智慧公安”建设中的挑战及困境,并在培育人工智能生态、优化基础能力体系和探索人工智能模型等方面进行了实践探索,提出人工智能技术在“智慧公安”建设中的应用范式。

In recent years,with the explosive development of algorithms and computing power,artificial intelligence technology has evolved rapidly,especially since the end of 2022,generative AI has emerged as a strong contender,with AI gradually transitioning from “weak” to “strong”,progressing towards general artificial intelligence.The goal of the “Smart Public Security” construction of public security organs is to promote police work from early warning to prediction and achieve intelligent wisdom,and self-learning and iteratively upgradeable AI technology is the key to driving this process.However,in actual operations,AI technology is often only used as a local highlight,lacking overall consideration and in-depth expansion,especially the exploration and practice of new-generation AI technology still lacks systematic summary.To address this,Yueqing Public Security,under the overall framework requirements of the higher-level “Smart Public Security” construction,has sorted out and analyzed the challenges and dilemmas of AI technology in the construction of “smart Public Security” at the county level.It has made practical explorations in building an AI ecosystem,optimizing the basic structural system and exploring AI models,proposing countermeasures and suggestions with more global reference value,and reshaping the application paradigm of AI technology in the construction of “Smart Public Security”.