From Data Perception to Intelligent Decision-Making: Research on Constructing a "Smart Governance" Closed Loop System Based on Localized AI

This report explores the transformative impact of artificial intelligence on public governance. Currently, the application of AI in public governance faces multiple challenges, including cultural and contextual barriers, data silos, delayed responses, and concerns regarding data sovereignty and security. In response, the report proposes a "Social Intelligence" solution based on AITL (AI-in-the-Loop) and HITL (Human-in-the-Loop), constructing a LECA (Listen-Engage-Create-Action) dual-loop system. This framework effectively breaks down the fragmentation inherent in traditional administrative processes, enhances governmental decision-making efficiency, and drives a paradigm shift in public administration from passive response to proactive perception and data-driven approaches. Using Macao as an empirical case study, the report emphasizes the necessity of deeply integrating AI with human decision-making. By establishing localized knowledge bases, implementing secure deployments based on data classification and grading, and defining a human-machine collaborative paradigm, the report advocates for leveraging technological empowerment to overcome the challenges of cross-cultural digital governance. Ultimately, it aims to reshape the relationship between the government and its citizens, fostering a modern governance system characterized by both technological sophistication and human-centric warmth.

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