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Paper Title

The importance of taxpayer rights in an AI-driven tax process

Authors

Liu Zhang

Keywords

taxation, artificial intelligence, taxpayer rights, tax procedure, accountability

Abstract

Artificial intelligence makes it possible to review current tax administration procedures to improve efficiency. At the same time, the protection of taxpayer rights cannot be ignored, meaning that special attention must be paid to ensuring that taxpayer rights are upheld when reforming tax administration procedures. The aim of this research is to examine the possible alternatives for introducing artificial intelligence in tax administration procedures from the perspective of taxpayer rights. At the same time, it is important to bear in mind that artificial intelligence cannot eliminate tax evasion or tax fraud, but it can reduce the regulatory and tax authority procedural loopholes that create opportunities for tax evasion or tax fraud. Furthermore, artificial intelligence cannot completely transform all tax administration procedures, as there are elements that require the use of human resources and human control (such as the advance tax ruling). Tax procedures supplemented by artificial intelligence tools can contribute to increasing transparency and trust in the tax system, as well as ensuring legal accountability. Based on the results of the research underlying this study, it is clear that the legislator's first task is to transform tax administration procedures based on artificial intelligence, considering the rights of taxpayers, followed by the involvement of the tax authority in order to develop the IT infrastructure in line with the amended legal environment. This could lead to the creation of a legal framework that maintains public trust and strikes a balance between innovation and the fundamental legal protection of taxpayers.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"The importance of taxpayer rights in an AI-driven tax process", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 1, page no.a409-a412, January-2026, Available :https://ijrti.org/papers/IJRTI2601055.pdf
APA — 7th edition
Zhang, L. (2026). The importance of taxpayer rights in an AI-driven tax process. International Journal for Research Trends and Innovation, 11(1), a409-a412. https://ijrti.org/viewpaperforall.php?paper=IJRTI2601055
MLA — 9th edition
Zhang, Liu. "The importance of taxpayer rights in an AI-driven tax process." International Journal for Research Trends and Innovation, vol. 11, no. 1, 2026, pp. a409-a412, https://ijrti.org/viewpaperforall.php?paper=IJRTI2601055.
Chicago — 17th, bibliography
Zhang, Liu. "The importance of taxpayer rights in an AI-driven tax process." International Journal for Research Trends and Innovation 11, no. 1 (2026): a409-a412. https://ijrti.org/viewpaperforall.php?paper=IJRTI2601055.
Harvard — author–date
Zhang, L. (2026) 'The importance of taxpayer rights in an AI-driven tax process', International Journal for Research Trends and Innovation, 11(1), pp. a409-a412. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2601055
IEEE — numbered reference
L. Zhang, "The importance of taxpayer rights in an AI-driven tax process," IJRTI, vol. 11, no. 1, pp. a409-a412, Jan. 2026.
Vancouver — biomedical
Zhang L. The importance of taxpayer rights in an AI-driven tax process. IJRTI. 2026 Jan;11(1):a409-a412.
AMA — 11th edition
Zhang L. The importance of taxpayer rights in an AI-driven tax process. IJRTI. 2026;11(1):a409-a412. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2601055
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2601055, author = {Liu Zhang}, title = {The importance of taxpayer rights in an AI-driven tax process}, journal = {International Journal for Research Trends and Innovation}, volume = {11}, number = {1}, pages = {a409-a412}, year = {2026}, month = {January}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2601055} }
RIS — EndNote, RefWorks
TY - JOUR AU - Zhang, Liu TI - The importance of taxpayer rights in an AI-driven tax process T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 11 IS - 1 PY - 2026 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2601055 SP - a409-a412 ER -

Issue

Volume 11 Issue 1, January-2026
Pages : a409-a412

Other Publication Details

Paper Reg. ID IJRTI_209193
Published Paper ID IJRTI2601055
Downloads 205,645
Research Area Management
Country Mong Kok, Hong Kong, Hong Kong
Published January 2026

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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