Artificial Intelligence and Tax Administration: Strategy, Applications and Implications, with Special Reference to the Tax Inspection Procedure
Abstract
This article provides insights into the use of artificial intelligence (AI) by tax administrations as a means of transforming tax procedures by improving tax efficiency and transparency, coming up with ideas and plans to implement new data-driven tax administrations, automating repetitive tax tasks, improving the fight against tax evasion, obtaining tax information to be used by the tax administration and providing other taxpayer services. Although the article focuses mainly on the use of AI in tax audits and the way to identify tax risks and taxpayer segmentation through AI, it also includes some reflections on data governance. Due to the fact that tax administrations are currently at different stages of AI use, the author aims to reveal the state of the art of AI in the tax world and to foster the ethical and responsible use of AI in tax administrations, in balance with taxpayers’ rights and guarantees. Modern tax administrations cannot allow themselves to be anything but efficient and transparent in the fight against tax evasion.
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Opacity surrounding AI systems worsens these risks and can stop taxpayers from learning how a tax decision was made or even that an AI-based decision exists.
“All these risks are compounded by the various forms of opacity that surround AI systems, which may preclude taxpayers from learning about the tax decision-making procedure or even about the existence of a decision based on an AI system in the first place.12”
From Towards eXplainable Artificial Intelligence (XAI) in Tax Law: The Need for a Minimum Legal Standard (2022) · cites this paper as [12]
Cites
Kaplan, A., & Haenlein, M. (2019) · Business Horizons · doi:10.1016/j.bushor.2018.08.004 · Cited by 3,140 · see citing works
The EU General Data Protection Regulation (GDPR)
Russell, S. (2020) · doi:10.1093/oso/9780198826491.001.0001 · Cited by 2,103 · see citing works
Base Erosion, Profit Shifting and Developing Countries
Crivelli, E., Mooij, R. A. D., & Keen, M. (2015) · IMF Working Paper · doi:10.5089/9781513563831.001 · Cited by 210 · see citing works
Digital Revolutions in Public Finance
Jacobs, B., & Sanjeev Gupta, M. K. (2017) · International Monetary Fund eBooks · doi:10.5089/9781484315224.071 · Cited by 157 · see citing works
Beyond State v Loomis: artificial intelligence, government algorithmization and accountability
Liu, H.-W., Lin, C.-F., & Chen, Y.-J. (2019) · International Journal of Law and Information Technology · doi:10.1093/ijlit/eaz001 · Cited by 127 · see citing works
Faúndez-Ugalde, A., Mellado-Silva, R., & Aldunate-Lizana, E. (2020) · Computer Law & Security Review · doi:10.1016/j.clsr.2020.105441 · Cited by 107 · see citing works
Vishnevsky, V. P., & Chekina, V. (2018) · Journal of Tax Reform · doi:10.15826/jtr.2018.4.1.042 · Cited by 66 · see citing works
OECD (2019) · Tax administration · doi:10.1787/74d162b6-en · Cited by 52 · see citing works
van Ooijen, C., Ubaldi, B., & Welby, B. (2019) · OECD Working Papers on Public Governance · doi:10.1787/09ab162c-en · Cited by 49 · see citing works
Los algoritmos son reglamentos
Palop, A. B. (2020) · Revista de Derecho Público Teoría y método · doi:10.37417/rpd/vol_1_2020_33 · Cited by 49 · see citing works
Digital Transformation of Tax Administration
Nazarov, M. A., Mikhaleva, O. L., & Chernousova, K. S. (2019) · Lecture notes in networks and systems · doi:10.1007/978-3-030-27015-5_18 · Cited by 33 · see citing works
The Changing Tax Compliance Environment and the Role of Audit
OECD (2017) · OECD eBooks · doi:10.1787/9789264282186-en · Cited by 20 · see citing works
Mehta, P., Babu, C. S., Rao, S. V. K. V., & Kumar, S. (2020) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata50022.2020.9377805 · Cited by 16 · see citing works
Big data e inteligencia artificial en la Administración tributaria
Cuello, R. O. (2021) · IDP Revista de Internet Derecho y Política · doi:10.7238/idp.v0i33.381275 · Cited by 14 · see citing works
Chapter 1 Epistemic technology and relevance analysis: Rethinking cognitive technology
Gorayska, B., & Marsh, J. P. (1996) · Advances in psychology · doi:10.1016/s0166-4115(96)80021-5 · Cited by 7 · see citing works
Sharing Tax Information in the 21st Century: Big Data Flows and Taxpayers as Data Subjects
Cockfield, A. J. (2019) · Canadian Tax Journal/Revue fiscale canadienne · doi:10.32721/ctj.2019.67.4.sym.cockfield · Cited by 6 · see citing works
James, S. (2017) · Edward Elgar Publishing eBooks · doi:10.4337/9781782549598.00027 · Cited by 3 · see citing works
Carvalho, L. D. L. (2019) · Intertax · doi:10.54648/taxi2019044 · Cited by 3 · see citing works
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Kinana, S. B. B., & Kinana, O. B. B. (2025) · Springer eBooks · doi:10.1007/978-981-96-5773-5_17 · Cited by 16 · see citing works
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Salah, A. S., & Awwad, B. (2024) · Studies in big data · doi:10.1007/978-3-031-73632-2_5 · Cited by 10 · see citing works
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Balios, D., Pierrakos, S., & Tantos, S. (2024) · Theoretical Economics Letters · doi:10.4236/tel.2024.143043 · Cited by 1 · see citing works
Parsons, S., Marais, A., & Hattingh, J. (2024) · Bulletin for international taxation · doi:10.59403/2y1gncy · Cited by 1 · see citing works
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Sayedahmed, N., & Anwar, S. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1534-8.ch003 · Cited by 1 · see citing works
Cerioni, L. (2025) · International Tax Studies · doi:10.59403/1cwb5mx · Cited by 1 · see citing works
OSIRIS: A Domain-Guided Framework for Tax Foreclosure Automation Using Large Language Models
Braz, F. A., da Silva, N. C., Nishi, L., Siqueira, E., Bonat, D., Corrêa, C. M. B., & Melo, I. (2025) · International Conference on Artificial Intelligence and Law · doi:10.1145/3769126.3769225 · Cited by 1 · see citing works
AI and real-time auditing/taxation in smart city economies: navigating the future
Sahgal, V., Singh, A., & Patel, D. (2026) · Elsevier eBooks · doi:10.1016/b978-0-44-327726-9.00026-5 · Cited by 1 · see citing works
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Erdem, İ. A. (2026) · World Tax Journal · doi:10.59403/f1zv8g
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Perrou, K., Christodoulopoulos, T. A., Avlichou, A.-M., & Psychogiou, D. (2026) · WU Institute for Austrian and International Tax Law, tax law and policy series. · doi:10.59403/1gs8pg9004
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- Authors
- Serrano Antón, F.
- Venue
- World Tax Journal
- Publisher
- IBFD
- Published
- 2021-09-27
- Volume
- 13
- Issue
- 4
- ISSN
- 1878-4917 (ISSN-L)
- 2352-9237
- OpenAlex
- W4389987739
- Cited by
- 21
- References
- 18
- Citations by year
- 2026: 9 · 2025: 5 · 2024: 4 · 2022: 3
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- World Tax Journal (publishedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Taxation and Compliance Studies
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Business, Management and Accounting › Accounting › Taxation and Legal Issues
- Keywords
- artificial intelligence, tax administration, tax audit, tax evasion, tax risk identification, data governance, taxpayer rights, responsible AI use
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