In recent years, with the development of computer technology, Internet platforms, and big data analysis, AI has been widely used and innovated in various fields, bringing huge changes and value to social and economic development. Taxation is an important part of national finance and an important means of national governance. The goal of taxation management is to achieve fairness, rationality, efficiency and convenience in taxation, to ensure national fiscal revenue, and to promote economic and social development. With the help of AI, big data and other technological means, the tax authorities have accelerated the construction process of the Golden Tax Project. The fourth phase of the Golden Tax Project, which will be launched soon, will focus on promoting the upgrading of tax collection and management methods from "tax collection" to "tax declaration" to "tax calculation". The tax collection and management process has changed from "computer-based" to "online" and then "to the cloud", and the efficiency of tax collection and management has been improved from "experience-based tax management" to "controlling taxes with tickets" to "controlling taxes with numbers".
The integration of AI and tax management refers to the use of AI technology to collect, analyze, mine and apply tax data, so as to realize the wisdom, digitization and modernization of tax management. The application of AI in the field of tax management has gone through five stages. Under the fifth stage, AI can realize applications in more advanced fields such as machine learning, data mining and other artificial intelligence through adaptive learning.
The tax industry involves extensive data processing, analysis and reporting, requiring a high degree of professional knowledge and skills. AI can support the tax industry in the following ways:
One is automated data processing. AI can realize the automatic collection, sorting, classification and conversion of data in various formats and sources through natural language processing, image recognition, speech recognition and other technologies, reduce the time and error of manual input and verification, and improve the efficiency of data processing. efficiency and accuracy.
The second is intelligent data analysis. AI can realize the intelligent analysis, mining and application of data through machine learning, deep learning, knowledge graph and other technologies, discover the laws, trends, anomalies and values in the data, generate visual reports and suggestions, and assist finance and taxation professionals to carry out decision making and evaluation.
The third is innovative data application. AI can realize the innovative application of data, simulate different scenarios and conditions, predict future results and risks, and explore new solutions and optimization strategies through technologies such as generative confrontation networks, reinforcement learning, and transfer learning.
Based on the "training" algorithm model of tax big data, identifying the "features" of the data and the corresponding results, AI can summarize the historical tax behavior of the enterprise and establish a tax model. After that, AI can make tax predictions through future data predictions as well as existing tax models .
As a national tax service platform, UFIDA Tax Cloud uses big data, machine language, AI and other technologies to help enterprises realize tax data standardization, tax calculation automation, and tax risk Control digitization, tax planning intelligence, and use digital drive to open a new era of smart taxation with human-machine collaboration.