Ethical AI Frameworks for Fraud Prevention in Financial Systems

This research article explores the integration of ethical AI frameworks in fraud prevention within financial systems. It addresses challenges such as algorithmic bias, transparency, and privacy concerns while proposing a robust framework that utilizes Explainable AI (XAI) techniques. The study highlights the importance of regulatory compliance and a human-in-the-loop approach to maintain accountability, ultimately aiming to enhance fraud detection accuracy and build public trust in AI-driven fin