Volume 4 • Issue 1 • PP: 01-07 • 2025
The Application of Artificial Intelligence in Accounting and Taxation Based on Expert Assessments
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© 2025 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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This study examines the theoretical, methodological, and applied aspects of artificial intelligence (AI) integration into accounting systems and tax administration using expert evaluation methods. A systematic review of contemporary academic literature is conducted to clarify the conceptual foundations of artificial intelligence and to substantiate its functional role in the digital transformation of accounting and fiscal processes. The analysis focuses on key applied areas of AI utilization, including the automation of accounting and managerial operations, the implementation of intelligent accounting information systems, and the use of virtual assistant platforms for tax compliance and automated reporting. Selected applied solutions—such as Robotic Process Automation (RPA), accounting software robots (RobBee), and the virtual assistant DavrOn—are examined to demonstrate the practical potential of intelligent technologies in financial and tax management. The results indicate that AI-based solutions contribute to higher operational efficiency, improved data reliability, enhanced procedural transparency, and greater adaptability of managerial decision-making under conditions of increasing data complexity.
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References
[1] Regulations on Documents and Document Management in Accounting: Approved by Order of the Minister of Economy and Finance of the Republic of Uzbekistan No. 143, June 14, 2024. [Online]. Available: https://lex.uz/ru/docs/6416781
[2] Strategy for the Development of Artificial Intelligence Technologies until 2030: Approved by Decree of the President of the Republic of Uzbekistan No. PP-358, Oct. 14, 2024. [Online]. Available: https://lex.uz/ru/docs/7158606
[3] Decree of the President of the Republic of Uzbekistan No. UP-5468, June 29, 2018. [Online]. Available: https://www.lex.uz/ru/docs/3802374
[4] S. S. Gulyamov, M. Yu. Jumaniyazova, and N. M. Mirzanova, Technologies of Artificial Intelligence in Economics. Tashkent, 2022.
[5] S. Fen, Will Artificial Intelligence Replace Us?, N. Rybalko and A. Susloparova, Transl. Moscow: Ad Marginem Press, 2019.
[6] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 3rd ed. Moscow, 2020.
[7] S. Potapov, Artificial Intelligence Technologies. Saint Petersburg: ITMO University, 2010.
[8] Yu. A. Krokhina, Tax Law, 10th ed. Moscow: Yurayt, 2023.
[9] L. N. Lykova, Tax Systems of Foreign Countries: Textbook and Practice Book, 4th ed. Moscow: Yurayt, 2023.
[10] M. I. Makhmudov and R. S. Kadyrov, “Artificial intelligence in the tax administration: Challenges and opportunities,” Journal of Taxation and Financial Management, vol. 12, no. 2, pp. 45–58, 2021, doi: 10.1016/j.jtfm.2021.02.003 .
[11] S. S. Achilov and A. Abdugafarov, “Modern information technologies in the tax system of Uzbekistan and the use of the expert assessment method,” Journal of Management Value & Ethics, vol. 13, no. 2, pp. 233–243, 2023.
[12] S. S. Achilov and M. Abdukarimova, “The selective statistical method in road construction,” AIP Conference Proceedings, vol. 3244, no. 1, Art. no. 040011, 2024, doi: 10.1063/5.0242260 .
[13] V. Sosnovskaya, “Artificial intelligence in accounting,” in Progressive Technologies and Economics in Engineering, Tomsk: Tomsk Polytechnic University, 2018, pp. 61–64.
[14] T. Yu. Druzhilovskaya, “Digitalization and artificial intelligence in accounting: Achievements and prospects,” International Accounting, vol. 26, no. 5, pp. 500–521, 2023, doi: 10.24891/ia.26.5.500 .
[15] Z. V. Udalova and A. A. Udalov, “The influence of Industry 4.0 on the future of accounting,” Accounting in Agriculture, no. 5, pp. 21–27, 2023.
[16] S. Andiq, “The use of artificial intelligence in accounting and auditing: New opportunities,” Science and the World, vol. 4, no. 4, pp. 175–181, 2023.
[17] S. Khudoykulov and S. Khalikchaeva, “Features of determining the tax base in the global tax system,” Economics of Education, vol. 24, no. 2, pp. 210–221, 2023, doi: 10.55439/ECED/vol24_iss2/a33 .
[18] N. Tashkentov and D. A. Murodov, “Impact of digital transformation on tax compliance: Evidence from Uzbekistan,” International Journal of Digital Economy, vol. 5, no. 1, pp. 15–29, 2023, doi: 10.1016/j.idigeco.2023.01.002 .
[19] S. A. Voronin, “New architecture of the tax system,” Economic Review, no. 8, 2020.
[20] B. D. Khajiev, “Reforming the tax system as a factor in improving distributive relations,” Economics and Finance, no. 4, pp. 20–25, 2022.
[21] Z. A. Pardaeva, G. Kh. Normatova, and Sh. E. Abdullaeva, “Improving tax policy in the Republic of Uzbekistan,” Young Scientist, no. 14, pp. 411–413, 2017.
[22] Niyazmetov, R. Amonova, and S. Voronin, “Tax reform: Preliminary results,” Economic Review, no. 5, 2021.
[23] O. V. Staroverova, “Digital technologies of tax administration,” Bulletin of Economic Security, no. 1, pp. 266–269, 2023, doi: 10.24412/2414-3995-2023-1-266-269
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