关键词: 人工智能, 治安治理, 风险分析, 协同共治, 社会善治, 三方博弈

Abstract: As artificial intelligence becomes increasingly ingrained in the realm of public security and governance, its practical application transcends unidimensional technological innovation. It now encompasses the development of a multi-stakeholder collaborative governance model, compels the upgrading of supporting public security systems, and drives the transition of governance methods towards more technologically advanced means. Simultaneously, the rapid advancement of intelligent technologies has resulted in structural imbalances among governance actors, the inadequacy of governance systems, and technological alienation, giving rise to risks such as social inequality, disarray within governance systems, and an overreliance on technology. Therefore, it is crucial to elucidate the evolving interplay among various actors in the context of artificial intelligence embedded in public security governance, while strengthening forward-looking prevention, constraint guidance, and formulating effective risk mitigation strategies. This approach is of both theoretical and practical value for harnessing artificial intelligence to enhance public security management more effectively.
This article establishes an evolutionary game model involving three key stakeholders: Government departments (represented by public security agencies), artificial intelligence companies, and the general public. And then it analyzes behavior strategies of the tripartite stakeholders in the scenario of artificial intelligence embedded in social security governance. By examining the strategic combinations chosen by these three interest groups, a game payoff matrix is constructed. Through the analysis of three-party replicator dynamic equations, the equilibrium points and stability of the evolutionary game among the three parties are determined.
The findings indicate that government departments, exemplified by public security agencies, must proactively coordinate the structural relationships among various stakeholders in the realm of artificial intelligence integration. It is crucial to foster a collaborative governance framework involving multiple entities, enhance and refine supporting systems, and expedite the development of an AI technology governance structure centered on “social good governance”. This approach will comprehensively facilitate the positive progression of AI integration within social security management.In particular, government departments represented by public security agencies need to take the initiative to comprehensively coordinate the structural relationship among multiple subjects under the embedding of artificial intelligence, promote the formation of a multi-subject collaborative governance pattern, follow up and improve supporting systems, and accelerate the construction of artificial intelligence for “good social governance”. The intelligent technology governance system can comprehensively promote the benign development of artificial intelligence technology embedded in social security governance.
This paper delves into the optimal risk response strategy within the evolutionary game of the interests of three key stakeholders, beginning with the logic of security management and adopting a more comprehensive and systematic perspective. Nevertheless, there exist certain research limitations. Future studies will further deepen the focus in two areas: First, incorporating relevant regulatory authorities to establish a four-party evolutionary game model, in order to develop more effective multi-stakeholder governance strategies; Second, investigating the creation of a more practical game payoff matrix, offering superior solutions for boosting the technical security and stakeholder collaboration of AI integration in social security management.

Key words: Artificial Intelligence, public security governance, risk analysis, collaborative co-governance, social governance, tripartite game