It has been nearly 40 years since the government’s digital construction, from the original office automation, to office integration, and then to digitalization; From single to comprehensive, from internal to external, from simple to complex; The goal of government informatization construction is to complete the digitization of government offices to provide better services for the government and society. Nowadays, AI technology is becoming more and more mature, and the application of AI technology can be seen in all aspects of life, and Deepseek ignited the craze of AI for the whole people at the beginning of the year, so as a national manager, what is the direction of the government’s AI technology application, today I will briefly talk about the application of this direction according to the previous work content.
Why?
Before speaking, let me talk about why the government wants to apply AI technology. A few reasons:
- The necessity of smart city construction: With the improvement of urban infrastructure, more refined management and intelligent management have become particularly important, whether it is the accuracy of urban risk prediction or the timeliness of emergency response, as a city manager, it is necessary to improve and upgrade management methods.
- AI technology maturity and feasibility: AI technology has developed so far, whether it is in terms of technical performance, technical cost, and industry penetration of technology, AI technology has been suitable for application in terms of security and advancement to government business optimization and service capacity improvement.
- Management intelligent integrity: Now all aspects of society have more or less completed AI intelligent upgrades, as city managers, intelligent upgrades are indispensable, in the words of my former clients: “The managers are intelligent, as managers are not intelligent, how can it be done.” ”
Main application directions
Government decision-making support
Now is the era of data, whether it is at the government level or the social level, massive data will be generated at every moment, for these massive data, how to quickly and accurately identify, classify, and analyze these massive data, and truly realize the transformation from data to wisdom, which is the transformation of data from the output of business handling to the input of smart applications, and the transformation to maximize the value of data. At this time, AI technology can help the government carry out big data analysis, and according to business needs, data (including but not limited to text data, picture data, video data, etc.) can be processed, processed, correlated, integrated, and counted… Use these data AI to process the results to provide decision-making support for government decision-makers. By analyzing massive amounts of data, AI can identify trends, predict the future, and help governments formulate more scientific and reasonable policies. For example, in macroeconomic regulation, AI can integrate data such as taxation, employment, and consumption to build dynamic prediction models to help policymakers simulate the economic impact of different policies. A study by the Brookings Institution pointed out that AI-based forecasting systems can reduce the error of policy-adjusted unemployment rate predictions by more than 20%. In addition, natural language processing technology can also analyze public opinions, extract key issues from social media and news reports, and provide a basis for policy optimization.
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Public service optimization
In the field of public services, AI can be applied to traffic management, environmental protection, education, medical care and other aspects. For example, AI can optimize traffic flow management and reduce congestion; In terms of environmental protection, AI can help monitor pollution sources and propose treatment plans; In the field of education, AI can personalize and recommend learning resources to improve teaching effectiveness; In the medical field, AI can assist in diagnosis and improve the efficiency and accuracy of medical services. In the field of people’s livelihood, AI has significantly improved the convenience and coverage of government services. Taking the “second batch” service in Shenzhen, China, as an example, through face recognition, OCR (optical character recognition) and automated approval processes, the processing time for business registration, talent settlement and other matters has been reduced from days to minutes. According to the World Bank’s 2020 Global Doing Business Report, the introduction of AI government services can reduce business costs by 30%. In addition, intelligent customer service systems (such as Hangzhou’s “city brain”) can respond to citizen inquiries 24 hours a day, with an answer rate of more than 85%, alleviating the congestion problem of traditional hotlines.
Regulation and risk prevention and control
AI has shown strong risk early warning capabilities in market supervision, environmental protection and other fields. For example, tax departments use machine learning algorithms to analyze business financial data, which can automatically identify abnormal transactions and tax evasion. The EU has increased the efficiency of suspicious transaction screening by 40% through the AI-driven “anti-money laundering monitoring system”. In environmental monitoring, satellite image recognition technology combined with AI models can track pollution sources and predict diffusion paths in real time. In 2021, China’s Ministry of Ecology and Environment used AI technology to warn the formation trend of smog in the Beijing-Tianjin-Hebei region 48 hours in advance, providing a scientific basis for emergency emission reduction.
Smart security
In terms of intelligent security, AI technology can be used for video surveillance, face recognition, behavior analysis, etc., to improve the level of public safety. Through real-time monitoring and analysis, AI can help prevent crime and improve the level of safety in cities.
Emergency management
In terms of emergency management, AI can be used for disaster early warning, emergency response, and resource allocation. By analyzing historical data and real-time monitoring, AI can provide early warning and quickly allocate resources to reduce losses when disasters occur, which demonstrate the breadth and importance of G-end AI applications, aiming to improve the efficiency and quality of government management and public services through technical means. For example, the Tokyo Fire Department in Japan uses AI systems to analyze historical fire data, optimize the layout of fire stations and rescue route planning, and reduce the average police dispatch time by 15%. During the new crown epidemic, the Korea Disease Control and Prevention Agency used an AI platform to track the contact chain of cases in real time, reducing the epidemiological investigation time from hours to less than 10 minutes. In addition, drones equipped with AI vision systems can quickly identify damaged buildings in post-disaster assessments and provide support for resource deployment.
Challenges and considerations
Despite the promising applications of AI, its promotion in government management still faces multiple challenges
In terms of content, there is a lack of originality. Although the AI function is powerful, its mechanism is to learn and create through the analysis of massive data through core algorithms, and the generated demand content is a recombination and arrangement of existing information, usually “superficial”, lacking original thinking and personal creative expression. The accuracy of reasoning and creation in personalized and highly specialized subdivisions cannot meet the needs, and targeted model design and training are urgently needed.
From the perspective of personnel, there is a shortage of compound talents. On the one hand, AI technology developers understand information technology, but often lack in-depth understanding and practical experience in public policy, making it difficult to effectively apply technology to specific scenarios of policy research, formulation, and implementation. On the other hand, public management personnel are familiar with industry policies, but due to the high technical threshold, it is difficult to fully master and use AI technology to work. To a certain extent, there is a mismatch between supply and demand, resulting in “blind people touching elephants” and “talking to themselves”.
From the perspective of effect, the application of data is insufficient. In the field of public policy, current AI technology is mainly used in the field of government services to improve administrative efficiency. However, in terms of in-depth application requirements such as public policy research and formulation, it is necessary to involve the training of a large amount of professional data, and the existing general large model training data basically comes from the Internet, making it difficult to obtain a large amount of internal data from industries, industries and enterprises, resulting in problems such as low application of AI technology in the field of public policy, poor implementation effect, and insufficient answer accuracy.
How to deal with it
AI is not only a “catalyst” for the transformation of public administration departments, but also a “touchstone” to test their innovation capabilities.
First, build a new decision support model. AI is more suitable for taking on “auxiliary roles” and handling basic work such as data screening and scenario simulation, while the core value trade-off and final decision-making still need to be led by humans. It is necessary to focus on the construction of digital government, focus on the actual needs of each unit, accelerate the introduction of large models such as DeepSeek, empower government services with AI technology, and effectively improve the level of intelligence and accuracy. Establish a human-machine collaborative decision-making mechanism, explore a new model of “human-centered + AI enhancement” public management through technological improvement, system design and cross-departmental collaboration, and be good at using large model technology to carry out data analysis and effect prediction in the process of public policy research and formulation.
Second, accelerate the cultivation of compound talents. Build a learning organization, conduct regular business training and academic exchanges, guide and help existing staff accept and master AI-enabled technology, and put forward professional model design and training needs. Improve the digital literacy of talents, explore the establishment of a “policy researcher + technical expert” pairing model, and set up a research group for the deep integration of AI technology and public policy. Strengthen exchanges and cooperation with universities, research institutes and AI companies, and promote real-time updates and in-depth applications of new AI technologies in the field of public policy.
Third, promote the organic integration of “AI+ platform”. Authorities in various industries have accumulated massive data and information, providing rich basic resources for public policy research. For example, the “Anhui Industrial Brain” monitoring center in the field of industry and information technology brings together multi-dimensional information from macroeconomy to micro enterprises, and the “one chain, one policy” research on key industrial chains brings together the whole chain information of related industries in the province. It is necessary to combine the powerful reasoning and analysis capabilities of large models such as DeepSeek, achieve organic integration with existing platform systems, build exclusive knowledge models in various subdivisions, conduct in-depth mining and intelligent analysis of data, quickly identify potential economic trends, industrial bottlenecks and policy impacts, etc., assist in policy research and formulation, and help the high-quality economic and social development of Anhui Province.
