APPLICATION OF AI FOR ACCOUNTING IMPROVEMENT AND FRAUD DETECTION

This study explores the transformative role of Artificial Intelligence (AI) in improving accounting processes and detecting financial fraud.As traditional accounting systems face challenges in dealing with complex transactions and identifying fraudulent activities, AI offers advanced tools for automation, data analysis, and anomaly detection.The research employs a mixed-method approach combining case studies, surveys, and secondary financial data to assess AI's effectiveness and implementation challenges in accounting.Key findings demonstrate that AI enhances the speed and accuracy of accounting tasks, significantly improves the detection of fraud through pattern recognition and predictive analytics, and supports more informed decision-making.However, barriers such as high costs, data privacy issues, and organizational resistance must be addressed to fully realize the benefits.The study contributes to existing literature by providing empirical evidence and practical insights into AI integration in accounting systems.It highlights the necessity of training, technological infrastructure, and regulatory support to drive successful AI adoption.The implications extend to accounting professionals, business leaders, and policymakers seeking innovative solutions to modern financial challenges.