An Evaluation of the Role of Artificial Intelligence in Combating Tax Fraud in Nigeria: A Study of Lagos State Government
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Background of the Study
Artificial Intelligence (AI) has the potential to significantly transform the way governments approach tax administration, particularly in combating tax fraud. In Nigeria, where tax evasion and fraud have hindered the efficiency of the tax system, the adoption of AI tools can provide a more effective means of detecting fraudulent tax activities. The Lagos State Government, which is one of the most populous and economically active regions in Nigeria, faces significant challenges with tax evasion, particularly in the informal sector, where many businesses and individuals underreport their income or misreport taxes.
AI-powered solutions, including machine learning algorithms, data analytics, and predictive models, can enable the Lagos State Government to detect discrepancies in tax filings, analyze taxpayer behavior, and identify suspicious patterns that may indicate fraudulent activities. By leveraging AI for automated data analysis and decision-making, tax authorities can enhance their ability to detect tax fraud and enforce compliance more effectively.
This study will evaluate the role of AI in combating tax fraud within the Lagos State Government, assessing the potential of AI technologies to improve tax collection, reduce fraud, and enhance compliance rates.
Statement of the Problem
Tax fraud remains a major issue in Lagos State, contributing to a significant loss of potential revenue for the government. Despite efforts to enhance tax administration, including the use of traditional auditing methods, the effectiveness of these measures is limited. The problem lies in determining whether AI can offer a more efficient and accurate solution for detecting tax fraud and improving the overall effectiveness of tax administration in Lagos State.
This study aims to assess the impact of AI technologies in combating tax fraud in Lagos, focusing on how AI can enhance fraud detection and improve the overall tax compliance environment.
Objectives of the Study
- To evaluate the effectiveness of AI in detecting tax fraud in Lagos State.
- To assess how AI can improve tax compliance and reduce fraudulent activities.
- To examine the challenges and opportunities associated with implementing AI in tax fraud detection in Lagos State.
Research Questions
- How effective is AI in detecting tax fraud in Lagos State?
- What impact does AI have on improving tax compliance in Lagos State?
- What challenges and opportunities are associated with the adoption of AI for tax fraud detection in Lagos State?
Research Hypotheses
- H0: AI has not significantly improved the detection of tax fraud in Lagos State.
- H0: AI has not significantly impacted tax compliance rates in Lagos State.
- H0: The Lagos State Government faces no significant challenges in implementing AI for tax fraud detection.
Scope and Limitations of the Study
This study will focus on the use of AI in detecting and combating tax fraud within the Lagos State Government's tax administration systems. The period of analysis will cover the years from 2018 to 2025, with a focus on both the implementation and impact of AI-driven solutions. Limitations include potential difficulties in obtaining access to proprietary data on AI systems used by Lagos State and the relatively nascent stage of AI adoption in Nigerian tax systems.
Definitions of Terms
- Artificial Intelligence (AI): The use of machines and algorithms to perform tasks that would normally require human intelligence, such as data analysis, decision-making, and pattern recognition.
- Tax Fraud: The illegal act of deliberately misreporting income, expenses, or other taxable items to reduce the amount of tax owed.
- Tax Compliance: The degree to which taxpayers adhere to tax laws and regulations.
- Lagos State Government: The regional government responsible for governance and administration in Lagos, Nigeria.
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