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Artificial Intelligence in Tax Compliance: Transforming Taxpayer Behavior and System Efficiency
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Author(s): Muhammad Idreesul Islam (The University of Kashmir, North, India), Khair Ul Nisa (Bisha University, Saudi Arabia), Sabeha Mufti (The University of Kashmir, North, India), Syed Immamul Ansarullah (University of Kashmir, India), Sheikh Ikhlaq (Deloitte, India)and Tyba Yousuf (SSM College of Engineering, Parihaspora, India)
Copyright: 2025
Pages: 20
Source title:
Modeling and Profiling Taxpayer Behavior and Compliance
Source Author(s)/Editor(s): Bouchra Alj (Faculty of Legal, Economic, and Social Sciences of Mohammedia, Hassan II University, Casablanca, Morocco), Lhoussaine Alla (Sidi Mohamed Ben Abdellah University, Morocco)and Badr Bentalha (Sidi Mohamed Ben Abdellah University, Morocco)
DOI: 10.4018/979-8-3373-0422-9.ch011
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Abstract
This chapter examines tax administration systems that utilizes artificial intelligence (AI) technologies including predictive analytics and natural language processing across multiple nations such as the United States, Europe, Australia, and India. These tools improve tax efficiency by reducing administrative costs and ensuring accurate compliance. However, the implementation of AI introduces critical ethical concerns regarding algorithmic fairness, data privacy, and equitable outcomes. These challenges can be addressed through explainable AI (XAI), ethical standards, and robust regulatory frameworks. The chapter describes the differences between AI adoption in developed nations and less developed countries alongside recommendations for local use and worldwide teamwork. Tax systems that use AI technology to serve more people become more transparent as governments learn how to handle its disadvantages. Furthermore, the chapter outlines upcoming trends like blockchain and quantum computing and presents clear steps tax authorities should take to use AI responsibly in tax operations.
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