互联网金融风险与政府治理机制转型

目的/意义人工智能的飞速发展，一方面为政府治理提供了新的途径，但同时也带来了极大的挑战。因此，在人工智能背景下，如何优化政府智能决策模型、提高政府决策的效率和科学性就显得尤为重要。设计/方法从政府治理中智能决策的相关理论入手，对影响政府智能决策的内部因素和外部因素展开了研究，探讨了融合多源信息进行政府智能决策的问题。结论/发现构建了基于政府内外部信息的多源信息融合模型和政府智能决策系统，为智能化政务办公的发展提供强有力支撑。

An advocacy coalition framework of policy change and the role of policy-oriented learning therein

[Purpose/Significance] The rapid development of artificial intelligence, on the one hand, provides a new way for government governance, but it also brings about great challenges. Therefore, under the background of artificial intelligence, it is important to optimize the intelligent decision model for the government and improve the efficiency and scientificity of government decisions. [Design/Methodology] This study starts with the relevant theories of the intelligent decision in government governance, studies the internal and external factors that affect the intelligent decision of government, and discusses the problem of integrating multi-source information for the intelligent decision of government. [Findings/Conclusions] Finally, a multi-source information fusion model based on internal and external government information and a government intelligent decision system are constructed to provide strong support for the development of intelligent government governnance.