秘书Issue(3)：62-72,11.
人工智能驱动的政府循证治理:范式转换及实现路径
Evidence-Based Government Governance Driven by Artificial Intelligence:Paradigm Shift and Practical Approach
摘要
Abstract
This paper is grounded in the context of modernizing national governance and explores how artificial intelligence leverages its technical potential to drive evidence-based governance in government.Based on the evolutionary trajectory from evidence-based decision-making to evidence-based governance,the study constructs an analytical framework covering the entire governance process agenda setting,policy formulation,implementation,and feedback.It systematically elaborates on the enabling role of artificial intelligence in data aggregation,evidence generation,and the construction and application of dynamic evidence repositories,while revealing its mechanisms for reconstructing the logic of evidence across three dimensions:technology,knowledge,and objectives.Furthermore,from a holistic process perspective,the study examines the pathways through which artificial intelligence facilitates the formation of a data-intelligence-driven,proactive governance paradigm.While expanding the theoretical and operational boundaries of evidence-based governance in government,artificial intelligence also introduces challenges such as algorithmic bias,data security,and public accountability.Future efforts should focus on building a more forward-looking,responsive,and resilient smart governance system to promote the realization of public values,balance instrumental rationality and value rationality,and continuously advance the modernization of government governance capacity.关键词
人工智能/循证决策/政府循证治理/公共决策/公共政策Key words
artificial intelligence/evidence-based decision-making/evidence-based government governance/public decision/public policy引用本文复制引用
王海峰,武茜薇..人工智能驱动的政府循证治理:范式转换及实现路径[J].秘书,2026,(3):62-72,11.基金项目
2020年度国家社会科学基金一般项目"甘青藏族牧区社会治理共同体协同治理研究"(20BSH011) （20BSH011）
