河北大学学报(哲学社会科学版) ›› 2025, Vol. 50 ›› Issue (5): 125-136.DOI: 10.3969/j.issn.1005-6378.2025.05.012

• 社会学研究 • 上一篇    

迈向敏捷治理:人工智能时代的现实要求、推进动力与路径策略

王松磊   

  1. 安徽大学 社会与政治学院, 安徽 合肥 230601
  • 收稿日期:2025-03-21 发布日期:2025-09-08
  • 作者简介:王松磊(1982—),男,河南长葛人,博士,安徽大学社会与政治学院副教授、硕士生导师,主要研究方向:政治学理论与基层社会治理。
  • 基金资助:
    安徽省哲学社会科学规划项目“‘救急难’互助社融入乡村治理的逻辑机理与优化路径研究”(AHSKY2024D12)

Toward Agile Governance: Realistic Requirements,Driving Forces, and Pathway Strategies in the Age of Artificial Intelligence

WANG Songlei   

  1. School of Sociology and Political Science, Anhui University, Hefei, Anhui 230601
  • Received:2025-03-21 Published:2025-09-08

摘要: 面对人工智能治理的高度复杂性与不确定性,亟须突破传统治理范式,向人工智能敏捷治理迭代升级。敏捷治理秉持以人为本、科技向善理念,彰显多元平衡、灵活响应、动态调整、协同互动的核心特征,是实现“善智、善植、善治”的关键路径。其发展受到多重动力的共同驱动:外在推力包括工业4.0时代的时代呼唤、国家层面的战略引导、政府部门的支撑保障以及企业的积极探索;内生动力则源于传统范式革新的内在需求与人工智能双重属性的有机整合。作为一项长期系统工程,推进人工智能敏捷治理需树立敏捷理念与文化,创新应用刚柔并济的治理工具,建立张弛有度的动态调整机制,并构建多元协同参与的治理格局,以期行稳致远。

关键词: 敏捷治理, 人工智能, 治理范式

Abstract: Faced with the high complexity and uncertainty of artificial intelligence governance,it is urgent to break through the traditional governance paradigm and iteratively upgrade to agile AI governance.Agile governance adheres to the concept of people-oriented and technology for good,highlighting the core characteristics of diversity balance,flexible response,dynamic adjustment,and collaborative interaction.It is the key path to achieving “ethical intelligence,responsible implementation,and effective governance”.Its development is driven by multiple driving forces:the external forces include the call of the Industry 4.0 era,strategic guidance at the national level,support and guarantee from government departments,and active exploration by enterprises;the endogenous driving force originates from the organic integration of the internal needs of traditional paradigm innovation and the dual attributes of artificial intelligence.As a long-term systematic project,promoting agile governance of artificial intelligence requires the establishment of agile concepts and culture,innovative application of governance tools that combine rigidity and flexibility,the establishment of dynamic adjustment mechanisms with tension and relaxation,and the construction of a governance pattern with diverse collaborative participation,in order to achieve stability and long-term success.

Key words: agile governance, artificial intelligence, governance paradigm

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