Artificial intelligence technology and tax risk management innovation

Wenjing Huang; Lin He; Jing Zhang

doi:10.1117/12.2641091

2 December 2022 Artificial intelligence technology and tax risk management innovation

Wenjing Huang, Lin He, Jing Zhang

Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 122881H (2022) https://doi.org/10.1117/12.2641091
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China

Abstract

The integration of artificial intelligence technology and tax risk management can establish an intelligent tax system, and through Bagging and SVM computer algorithms. Both an intelligent tax system and a predictive tax evasion model are essentially a tax system based on computer technology. The use of forecast indicators, tax cases and tax data can improve the accuracy of tax risk prediction on the basis of reducing tax cost, the accuracy of tax risk and further ensure the accuracy of tax data. Through this model, the control level of tax risk management can be improved.

Citation Download Citation

Wenjing Huang, Lin He, and Jing Zhang "Artificial intelligence technology and tax risk management innovation", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 122881H (2 December 2022); https://doi.org/10.1117/12.2641091

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