AI in Finance: Risk Management and Fraud Detection with Machine Learning
Abstract
The financial sector has embraced AI to optimize risk management, detect fraudulent activities, and automate trading strategies. This paper investigates AI applications in credit scoring, algorithmic trading, and fraud detection using machine learning models. We explore how AI enhances decision-making by analyzing vast financial datasets in real time. The study also discusses the risks associated with AI-driven financial systems, including data privacy concerns and model interpretability.
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