数字时代不断发展的税收遵从:美国税务管理中的人工智能驱动模式和区块链技术比较分析

Odunayo Adewunmi Adelekan, Olawale Adisa, Bamidele Segun Ilugbusi, Ogugua Chimezie Obi, Kehinde Feranmi Awonuga, Onyeka Franca Asuzu, Ndubuisi Leonard Ndubuisi
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摘要

本文旨在全面回顾人工智能(AI)和区块链技术在美国税务管理中的应用。它探讨了这些技术如何彻底改变税收遵从和欺诈检测,并提供了与传统方法的比较分析。本文强调了这些技术在提高税务管理的效率、准确性和透明度方面的潜在优势,与美国政府确保财政诚信和公众信任的目标相一致。该报告还研究了国际最佳实践,并提出了美国如何利用这些技术保持其在金融治理和创新方面的全球领先地位的建议。本研究围绕四个关键目标展开:评估当前人工智能和区块链在税收管理中的整合情况,评估其在提高税收合规性方面的有效性,确定实施方面的挑战,并提出战略建议。本研究采用全面的文献综述方法,综合了各种来源的研究结果,以深入了解这些技术在现代税务系统中的作用和影响。研究结果表明,人工智能和区块链大大提高了税务合规性和管理效率,但也带来了一些挑战,如数据隐私问题和对健全监管框架的需求。总之,本研究强调了人工智能和区块链在税务管理方面的变革潜力,建议继续进行研究和开发,同时开展利益相关者教育和参与。这些努力对于克服操作挑战和充分利用这些技术在税务系统现代化中的优势至关重要。本文最后为政策制定者、税务机关和研究人员提出了战略建议,强调了在促进技术创新的同时保持合法合规和遵守基本原则的平衡方法的重要性。关键词人工智能 区块链 税务管理 税务合规 数字化转型 金融治理
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EVOLVING TAX COMPLIANCE IN THE DIGITAL ERA: A COMPARATIVE ANALYSIS OF AI-DRIVEN MODELS AND BLOCKCHAIN TECHNOLOGY IN U.S. TAX ADMINISTRATION
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.
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