Artificial Intelligence Technologies in Tax Consulting and Forensic Tax Expertise

Pavlova, Ksenia Sergeevna; Knyazeva, N. V.

doi:10.1007/978-3-030-83175-2_38

Cited by 7 publications

(1 citation statement)

References 6 publications

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“…Savić et al [14] analyze the tax risk management by using a hybrid method which mainly focus on outlier detection approach and unsupervised machine learning algorithms. Also, different studies have applied various machine learning models to process data related to tax risk problems [15], [16], [17] Furthermore, with cross-validation training approach, the performance of each machine learning algorithm was tested on selection groups with different attributes, namely industry, governance, year and characteristics of the company. The findings indicate that the machine learning model exhibits better reliability with industry, governance, and company-specific features.…”

Section: Empirical Studiesmentioning

confidence: 99%

Forecasting Tax Risk by Machine Learning: Case of Firms in Ho Chi Minh City

Phong

Tam

Cuong

2022

Frontiers in Artificial Intelligence and Applications

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Tax is the main source of income for the State. However, managing tax collection effectively and limiting the tax risks is a challenge for state tax authorities. This study applies machine learning to assess and predict firms with tax risks using logistic regression algorithm. The data set includes 872 observations of firms in Vietnam market. The machine learning approach is used to classifies the firms into 2 categories which has tax risk or not based on 6 main factors: (i) revenue and other income; (ii) expenses; (iii) liquidity; (iv) asset; (v) liabilities; and (vi) equity. The results show that the machine learning method is effective and accurate in identifying and predicting risks in tax declaration. The authors recommend that the tax agencies could apply machine learning methods and go further with big data and artificial intelligence approach to identify and classify enterprises.

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Section: Empirical Studiesmentioning

confidence: 99%