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
Research Questions
Research Hypotheses
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
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