摘要
随着人工智能技术的深度渗透,传统社会空间治理正经历从“数字治理”向“智能治理”的范式跃迁。聚焦这一变革背景,通过辨析从数据驱动到智能驱动的演进特征,结合上海“量子城市”与杭州“城市大脑”等典型案例,文章探讨了人工智能时代社会空间治理多维主义模式的拓展与实践逻辑。第一,治理空间维度由“物理-社会-数据”三元结构拓展为“物理-社会-数据-算法”多维连接。算法赋能数字孪生空间,使其具备了主动推演与决策能力,实现了从静态映射到动态预测的转变。第二,治理主体结构从“政府-市场-社会”三元关系拓展为“政府-市场-社会-智能”多维协同,AI主体性逐渐显现,从工具逐渐演变为具有自主学习与决策能力的协同治理主体。第三,面对智能时代社会空间治理面临的新变化和新挑战,需要构建虚实协同的空间秩序,确立人机协同共治机制,并坚持智能向善的价值导向,推动社会空间治理的高质量发展。
With the pervasive penetration of artificial intelligence(AI)technologies,traditional paradigms of social space governance are undergoing a fundamental shift—from"digital governance"to"intelligent governance."In the governance space dimension,AI innovations such as AI-generated content(AIGC)and spatial intelligence have endowed digital twin spaces with unprecedented capabilities,transforming them from static reflections of physical reality into dynamic systems capable of proactive inference,simulation,and realtime optimization.This transition extends governance functions beyond mere representation to include predictive intervention and anticipatory regulation.On the dimension of governance subjects,algorithms have qualitatively mutated—from passive instruments of execution into"artificial agents"or"auxiliary governance actors"possessing autonomous learning,environmental adaptation,and predictive decision-making capacities.This mutation fosters an emergent symbiotic"human-machine collaboration,"challenging established power structures and reconfiguring accountability boundaries.In this study,building upon this analysis of the data-to-intelligence governance transition,we examine—through case studies including Shanghai's"Quantum City"and Hangzhou's"City Brain"—the expansion logic and practical manifestations of multidimensional social space governance in the AI era.First,the governance space has expanded from a tripartite"physical-social-data"framework to a quadrilateral"physical-social-data-algorithm"structure.Spatial intelligence technologies and"real-world model"paradigms have positioned algorithms as the core of digital twin systems.Empowered by spatial intelligence,digital twin environments achieve heightened precision and synchronicity,enabling real-time and efficient interactions with physical spaces while demonstrating enhanced generative capacity and operational autonomy.These developments constitute the multidimensional spatial arena of public governance.Second,the governance subject has evolved from a"government-market-society"triadic relationship to a"government-market-societyintelligence"quadrilateral synergy.As AI agents gain greater autonomy,their subjectivity becomes increasingly manifested,elevating AI from a mere instrument to a co-constitutive governance actor that must operate in parallel with traditional subjects.This transformation necessitates fundamental theoretical and practical interpretations of the relationships among all governance stakeholders.This multidimensional expansion has engendered a series of novel challenges for public governance practices.First,AI and digital twin technologies have accelerated the convergence of the physical,social,and digital domains,yet this nascent"hybrid space"has precipitated profound normative conflicts in governance practices.Second,as AI transitions from a tool to an intelligent agent,algorithmic bias becomes more acute,and an"accountability vacuum"risk emerges within human-machine collaborative frameworks.Finally,persistent digital divides are metamorphosing into a new configuration—the"intelligence divide"—exacerbating social stratification.To address these emergent challenges,social space governance in the intelligence era requires innovative pathways.First,cross-spatial coordinative governance mechanisms must be constructed to enable the synergistic integration of virtual and physical domains,shifting from normative fragmentation to spatial order reconstruction.Second,a humanmachine coordinative governance framework should be built upon technical foundations of"trustworthy AI"and institutional safeguards ensuring"ultimate human control."Third,governance must uphold a people-centered value orientation,ensuring that the benefits of intelligent governance are equally distributed across all citizens.
作者
郁建兴
谭立力
Yu Jianxing;Tan Lili(School of Public Affairs,Zhejiang University,Hangzhou 310058,China;School of Government,Yunnan University,Kunming 650500,China)
出处
《热带地理》
北大核心
2026年第1期36-45,共10页
Tropical Geography
基金
国家自然科学基金重点项目“数字政府驱动的治理范式变革研究”(72434004)
教育部哲学社会科学研究重大专项项目“中国社会治理自主知识体系构建研究”(2025JZDZ047)。
关键词
人工智能
空间治理
多维主义
数字孪生
AI主体性
Artificial Intelligence
spatial governance
multidimensionalism
digital twin
AI subjectivity
