Research Report on Governance Modernization in the Digital Age: Practice and Prospects for the Application of Large Models in the Government Domain (2023)

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The application of large generative AI models in government governance is rapidly advancing, with 18 countries and regions exploring their use, indicating a global wave of digital government reforms driven by intelligentization [4][17] - In China, the application of large models in the government domain is still in its initial exploratory stage, with at least 56 vendors deploying products, and key implementation directions include government hotlines, intelligent customer service, urban governance, healthcare, and education [7][17] - The integration of large models into government services is expected to enhance efficiency, reduce operational costs, and improve service delivery, with predictions indicating a potential 1.8% reduction in public service operating costs [4][21] Summary by Sections I. Opportunities for Government Reform - Large models represent a significant opportunity for reforming government governance, with their capabilities aligning well with the needs for high-level information collection and intelligent interaction [3][14] - AI penetration in China's government industry was reported at 52% in 2022, indicating a strong foundation for AI technology application [14][15] II. Global Wave of Large Model Applications - The exploration of large generative AI models in government is mainstream, with applications covering various scenarios such as text generation, service provision, and decision-making analysis [4][17] - Countries like the United States, Japan, and Singapore are leading in the practical application of large models, transitioning from local exploration to integrated applications [4][22] III. Progress in China - China is still in the initial stage of exploring large model applications in government, with localities like Beijing and Shanghai promoting implementation through supportive policies [7][17] - The report highlights the need for refined policy specifications to enhance the application of large models in governance [7][17] IV. Trends and Outlook - The report emphasizes the importance of balancing risks and benefits in the application of large models, strengthening the integration of technology with practical scenarios, and enhancing the supply of high-quality data [7][17]