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Introduction

Advancements in technology, particularly in the field of artificial intelligence (AI), have had a significant impact on various industries, including taxation. The use of AI in tax auditing has become increasingly popular among tax authorities due to its ability to analyze large amounts of data quickly and accurately. However, the use of AI in tax auditing raises a number of legal challenges, particularly in relation to taxpayer rights.

Background of Study

The use of AI in tax auditing has the potential to improve efficiency and effectiveness in tax administration. However, it also raises concerns about the protection of taxpayer rights, including the right to privacy and the right to appeal decisions made by tax authorities.

Problem Statement

There is a lack of research on the legal challenges of AI in tax auditing and the implications for taxpayer rights. This study seeks to address this gap by examining the legal issues surrounding the use of AI in tax auditing and their impact on taxpayer rights.

Objective of Study

The objective of this study is to explore the legal challenges of AI in tax auditing and their implications for taxpayer rights. Specifically, the study aims to identify the key legal issues, analyze their impact on taxpayer rights, and propose recommendations for addressing these challenges.

Limitation of Study

This study is limited to a discussion of the legal challenges of AI in tax auditing and taxpayer rights. It does not address broader issues related to the use of AI in taxation or tax policy more generally.

Scope of Study

The study will focus on the legal challenges arising from the use of AI in tax auditing, including issues related to transparency, accountability, and fairness. It will also examine the impact of these challenges on taxpayer rights, such as the right to privacy and the right to appeal decisions made by tax authorities.

Significance of Study

This study is significant because it will contribute to a better understanding of the legal challenges of AI in tax auditing and their implications for taxpayer rights. It will also provide recommendations for policymakers and tax authorities on how to address these challenges in a way that protects taxpayer rights.

Structure of the Thesis

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
– Overview of AI in tax auditing
– Legal challenges of AI in tax auditing
– Taxpayer rights in the context of AI
– International perspectives on AI in tax auditing
– Case studies of AI in tax auditing
– Ethical considerations in the use of AI in tax auditing
– Impact of AI on tax compliance
– Regulatory frameworks for AI in tax auditing
– Public perception of AI in tax auditing
– Emerging trends in AI technology for tax auditing

Chapter 3: Research Methodology
– Research design and approach
– Data collection methods
– Data analysis techniques
– Sample selection
– Ethical considerations
– Limitations of the study
– Validity and reliability of research findings
– Research timeline

Chapter 4: Discussion of Findings
– Analysis of legal challenges of AI in tax auditing
– Implications for taxpayer rights
– Recommendations for policymakers and tax authorities
– Future research directions

Chapter 5: Conclusion and Summary
– Summary of key findings
– Implications for practice and policy
– Contributions to the field
– Limitations of the study
– Suggestions for further research.

Thesis Overview on Legal challenges of AI in tax auditing and taxpayer rights

The use of AI in tax auditing presents numerous legal challenges that must be addressed to protect taxpayer rights. This thesis will explore the legal implications of using AI in tax auditing and the impact on taxpayer rights. The study will analyze the key legal issues, including transparency, accountability, and fairness, as well as their implications for taxpayer rights, such as privacy and the right to appeal decisions. By identifying these challenges and proposing recommendations for policymakers and tax authorities, this research aims to contribute to a better understanding of the legal framework surrounding AI in tax auditing.

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