Abstract
<jats:p>This article examines the transformative role of Artificial Intelligence (AI) in the financial sector, highlighting how technologies such as machine learning, deep learning, and reinforcement learning are enhancing key functions including fraud detection, credit risk evaluation, and algorithmic trading. The article explores the integration of AI with innovations like robo-advisors, blockchain, and federated learning, emphasizing the superior performance of these systems in managing complex, unstructured data. However, it also addresses critical concerns around explainability, fairness, and data privacy, noting that as AI systems grow more complex, their decision-making processes become less transparent. To mitigate these risks, the chapter discusses emerging approaches such as Responsible AI frameworks, interpretable models, and tools like SHAP and LIME. It concludes by underscoring the need for financial institutions to balance innovation with accountability, ensuring that AI-driven systems are not only efficient but also ethical and inclusive.</jats:p>