article · Computer Science & IT Research Journal
This paper reviews the integration of artificial intelligence (AI) and blockchain technology within U.S. tax administration, comparing them with traditional methods. It explores how these digital tools are transforming tax compliance and fraud detection, aiming to enhance efficiency, accuracy, and transparency. The study, based on a comprehensive literature review, assesses their current integration and effectiveness, identifies implementation challenges, and proposes strategic recommendations. Findings indicate that AI and blockchain significantly improve tax compliance and administrative efficiency, although they introduce challenges such as data privacy and the need for strong regulatory frameworks. The research concludes by highlighting the transformative potential of these technologies, advocating for ongoing research, development, and stakeholder engagement to overcome operational hurdles and modernise tax systems.
This research is important because it explores how advanced technologies like AI and blockchain can make tax systems more efficient, accurate, and transparent. For citizens, this could mean fairer taxation and better public services due to improved fiscal integrity. For governments, it offers pathways to modernise operations and combat fraud more effectively.
The abstract indicates that AI and blockchain technologies are being explored for enhancing tax administration, specifically for improving compliance and fraud detection. Potential users include government tax authorities and financial regulatory bodies. This research appears to be at an early-to-mid stage, providing a comprehensive review and strategic recommendations rather than presenting a tested product or service. It highlights the need for further research and development before widespread practical application.
AI-generated from the published abstract. Always read the original work before citing.
This paper aims to provide a comprehensive review of the integration of artificial intelligence (AI) and blockchain technology in U.S. tax administration. It explores how these technologies are revolutionizing tax compliance and fraud detection, offering a comparative analysis with traditional methods. The paper highlights the potential benefits of these technologies in enhancing efficiency, accuracy, and transparency in tax administration, aligning with the U.S. government's objectives of ensuring fiscal integrity and public trust. The review also examines international best practices and proposes how the U.S. can leverage these technologies to maintain its global leadership in financial governance and innovation. The study is structured around four key objectives: assessing the current integration of AI and blockchain in tax administration, evaluating their effectiveness in enhancing tax compliance, identifying implementation challenges, and developing strategic recommendations. Employing a comprehensive literature review approach, the study synthesizes findings from various sources to provide an in-depth understanding of the role and impact of these technologies in modern tax systems. The results reveal that AI and blockchain significantly improve tax compliance and administration efficiency but also introduce challenges such as data privacy concerns and the need for robust regulatory frameworks. In conclusion, the study underscores the transformative potential of AI and blockchain in tax administration, recommending continuous research and development, coupled with stakeholder education and engagement. These efforts are crucial for overcoming operational challenges and fully harnessing the benefits of these technologies in modernizing tax systems. The paper concludes with strategic recommendations for policymakers, tax authorities, and researchers, emphasizing the importance of a balanced approach that fosters technological innovation while maintaining legal compliance and adherence to fundamental principles. Keywords: Artificial Intelligence, Blockchain, Tax Administration, Tax Compliance, Digital Transformation, Financial Governance.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.51594/csitrj.v5i2.759
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
