A method for analyzing risks based on risk analysis and an AI artificial intelligence model

Abstract

A method for analyzing risks based on risk analysis and an AI artificial intelligence model belongs to the technical field of AI artificial intelligence, and comprises the steps of establishing a taxrisk characteristic database; according to the existing artificial experience, establishing the risk index model according to the risk points of different industries and different taxes, and assembling the tax risk characteristic database; establishing a self-study method, setting up the index model independently according to tax policy, and proposing a new index model independently according to new tax policy; establishing the indicator optimization mechanism, establishing the setting-verification-popularization index optimization mechanism to verify the validity of the index model proposed by artificial intelligence system independently in past cases or assign risk responders to verify its evaluation results to determine whether the index model is included in the tax risk analysis feature library. The method of the invention utilizes the AI artificial intelligence to learn the tax risk analysis model and independently and continuously learns to complete the model verification so as to continuously improve the precision of the model.

Description

technical field [0001] The invention relates to a risk analysis method, in particular to a risk analysis method based on risk analysis and AI artificial intelligence model, belonging to the technical field of AI artificial intelligence. Background technique [0002] In recent years, with the rapid development of the economy, most large enterprises have achieved cross-industry, cross-regional and even transnational operations. Transactions and business processes have become increasingly complex and diverse. Tax risk control has become more and more difficult. The occurrence of tax risks is inseparable Implementation of tax laws and regulations, practice of tax collection and management. [0003] However, manual analysis and tax analysis are not only work-intensive, but also the data is getting larger and larger. In the face of new data, it is necessary to develop a new set of risk characteristic indicators, which is too much work and time-consuming. Therefore, it is necessary...

AI Technical Summary

Problems solved by technology

[0003] However, manual analysis and tax analysis are not only work-intensive, but also the data is getting larger and larger. In the face of new data, it is necessary to develop a new set of risk characteristic indicators, which is too much work and time-consuming. Therefore, it is necessary to quickly and instantly analyze the current situation. To update the risk indicators in time, it is necessary to establish a set of self-learning methods, which can intelligently analyze the existing abnormal conditions and judge the risk value in time