Email this article Identify fraud detection in corporate tax using Artificial Intelligence advancements
Abstract
This research paper investigates the application of Artificial Intelligence (AI) advancements in the realm of corporate tax to enhance fraud detection mechanisms. As corporate tax evasion poses a significant challenge, traditional methods often fall short in identifying sophisticated fraudulent activities. Leveraging AI technologies such as machine learning and predictive analytics, this study aims to develop a robust and adaptive system capable of detecting irregularities and anomalous patterns in corporate tax filings. The research involves a comprehensive analysis of historical tax data, employing advanced algorithms to discern subtle patterns indicative of fraudulent behavior. By harnessing the power of AI, this research seeks to contribute to the evolution of corporate tax enforcement, providing tax authorities with more effective tools to combat fraud, ensure compliance, and preserve the integrity of the taxation system. The findings are expected to have implications for policy development, shaping the future landscape of corporate tax regulation and enforcement.
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