Artificial Intelligence in Fraud Detection and Risk Analytics

Abstract

Artificial Intelligence (AI) has become a critical tool in the fight against financial fraud and the management of risk in financial markets. By leveraging machine learning algorithms, AI can detect patterns, predict fraudulent behavior, and improve decision-making in risk assessment processes. This paper explores the role of AI in fraud detection and risk analytics within the financial sector, with a particular focus on emerging markets like Pakistan. Through empirical analysis of financial data from 2010 to 2024, the study evaluates the effectiveness of AI techniques such as neural networks, decision trees, and support vector machines in detecting fraud and mitigating risk. The findings show that AI significantly enhances the accuracy of fraud detection systems and improves the efficiency of risk management processes. However, challenges related to data quality, algorithm transparency, and regulatory compliance remain. The paper concludes with policy recommendations for integrating AI into financial institutions' fraud detection and risk management frameworks