Tax administration
Reference:
Krichevskiy, E.N. (2025). Development of scientific and methodological approaches to identify threats of possible insolvency of legal entities for tax administration purposes. Taxes and Taxation, 3, 1–21. https://doi.org/10.7256/2454-065X.2025.3.74243
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EDN: IRWYZS
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Abstract:
This article is a study of the possibility of improving scientific and methodological approaches to determining the bankruptcy of insolvent organizations. The paper discusses modern methods of bankruptcy forecasting, as well as the author's methodology for identifying "pre-bankruptcy" for tax administration purposes. The purpose of the presented research is to improve scientific and methodological approaches to determining the situation preceding the onset of insolvency (bankruptcy) of legal entities for the purposes of tax administration. The novelty of the present study lies in the development of an algorithm for determining control ratios that make it possible to identify the possible insolvency of legal entities for tax administration purposes. The object of the study is the economic relations formed during the bankruptcy procedure of insolvent organizations.The basis of the research methodology is formed on the basis of general scientific and special research methods, including methods of comparative analysis, a method of summarizing results when formulating conclusions and presenting priority areas, a method of system analysis and expert assessment. The research results are primarily aimed at improving the efficiency of tax administration of insolvent organizations through a set of preventive measures by tax authorities aimed at financial recovery of organizations, identifying problematic taxpayers at risk of insolvency (bankruptcy), as well as providing an opportunity to voluntarily restructure the assets and liabilities of organizations. At the same time, the prospects for further research lie in adapting foreign neural networks to predict corporate bankruptcies and create domestic ones.
Keywords:
methodology, bankruptcy estate, neural network, creditors, forecasting, tax administration, debtor, pre-bankruptcy period, insolvency, bankruptcy institute
LEGAL REGULATION OF TAX RELATIONS
Reference:
Andrianova, N.G. (2025). Artificial Intelligence in Tax Control: Problems and Prospects of Legal Regulation. Taxes and Taxation, 3, 22–32. https://doi.org/10.7256/2454-065X.2025.3.74301
Abstract:
The development of artificial intelligence technology is one of the priority areas of scientific and technological development in the Russian Federation. In this regard, under the conditions of the active implementation of artificial intelligence technology in all spheres of public life, it is important to study the prospects of using this technology within the framework of tax control. This article examines the problems and prospects of legal regulation concerning the use of artificial intelligence in tax control. The main directions of the digitalization of tax control are analyzed, which include the use of information systems and software based on artificial intelligence technology. An analysis of case law regarding the use of information from tax authorities' information systems as evidence of tax offenses committed by taxpayers was conducted. In conducting this research, methods such as analysis, synthesis, deduction, induction, and the formal-legal method were employed. The results of the study regarding the problems and prospects of legal regulation of the use of artificial intelligence in tax control establish that there is a clear approach in judicial practice, according to which information systems used by tax authorities are considered an internal information resource created for the automation and systematization of processes for collecting, accumulating, storing, and processing specific information about organizations that tax authorities have obtained lawfully during the performance of their functions. It has been established that the digital transformation of tax control, based on the use of artificial intelligence technology, allows for the automation of tax control processes; however, to ensure a balance between public and private interests, it is necessary to improve tax and fee legislation concerning the legal framework for the use of artificial intelligence technology in tax control, along with the introduction of new guarantees and new rights for taxpayers.
Keywords:
case law, information system, private interest, public interest, balance of interests, taxpayer, tax authority, tax control, legal regulation, artificial intelligence