山东警察学院学报

算法驱动下的公共安全治理可以帮助政府更加高效、精准地应对安全挑战,实现治理的精准化、透明化、数字化、智能化,有效提升公共安全治理的效能和公众满意度,为实现公共安全治理现代化提供了思路。通过对算法驱动公共安全治理现代化的逻辑、路径及其风险规制进行分析,可以进一步发展公共安全治理现代化的理论体系,对于推动公共安全治理现代化具有重要的理论和实践价值。应当综合运用文献研究和系统分析的方法,从何以可能、何以可为、何以可行三个方面探究算法嵌入并驱动公共安全治理的内在逻辑、实践路径以及可能带来的风险及规制策略。算法与公共安全治理之间存在着内在的有机统一性和协同联动作用,算法系统是推动公共安全治理现代化的关键因素。随着算法的嵌入,公共安全治理呈现出实践主体广泛化、治理客体精准化、治理思维理性化、权力运行算法化以及治理形态脱域化等新特征。为实现公共安全治理现代化,需要通过算法思维促进公共安全治理理念的转型,以算法决策驱动公共安全治理体系优化,以算法权力驱动公共安全治理机制健全。对算法驱动公共安全治理中可能出现的风险,采取技术性、法律性和伦理性风险规制策略,确保算法驱动公共安全治理的可持续性和有效性。

Algorithm-driven public security governance enables government to respond to security challenges more efficiently and accurately,achieving precision,transparency,digitalization,and intelligence in governance.This approach effectively enhances the efficiency of public security governance and increases public satisfaction,providing a framework for modernizing public security governance.Analyzing the logic,pathways,and risk regulation of algorithm-driven public security governance modernization can further develop its theoretical framework and holds significant theoretical and practical value in promoting modernization.A comprehensive approach utilizing literature research and systematic analysis should explore the intrinsic logic,practical pathways,and potential risks and regulatory strategies of embedding algorithms in public security governance from three perspectives:possibility,feasibility,and viability.There exists an inherent organic unity and collaborative interaction between algorithms and public security governance,with algorithmic systems serving as key drivers for modernization.The integration of algorithms introduces new characteristics in public security governance,including the broadening of practical subjects,precision in governance targets,rationality in governance thinking,algorithmic operation of power,and the disembedding of governance forms.To achieve modernization in public security governance,it is essential to promote a transformation in governance concepts through algorithmic thinking,drive optimization of governance systems via algorithmic decision-making,and enhance governance mechanisms through algorithmic power.Strategies for regulating potential risks in algorithm-driven public security governance should encompass technical,legal,and ethical approaches to ensure sustainability and effectiveness.