The Scope of AI Applications to Tax Evasion in Enhancing Tax Enforcement Capabilities

Abstract

This study explores the expansive scope of artificial intelligence (AI) applications in enhancing tax enforcement capabilities, specifically targeting tax evasion. Through a survey using Smart PLS version (4) to analyze the data. The study highlights how the scope of AI, which is an Exploration of new AI technologies (ENT), Integration with existing systems AI (IES), The overall scope of AI applications (OSA), Perceived scalability AI (PS), can significantly improve the detection and prevention of tax evasion. Findings demonstrate that AI can identify complex patterns of fraudulent activity and predict potential risks more accurately and efficiently than traditional methods. The study also found no statistically significant relationship between integration with existing systems AI and tax evasion in tax enforcement capabilities.