Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 499 - 524
Опубликована: Апрель 8, 2025
Financial institutions face dynamic threats that range from credit defaults to money laundering. Traditional risk management models struggle with large data and shifting market conditions. Artificial intelligence (AI) offers flexible, data-driven methods enhance scoring, fraud detection, analytics, compliance. By leveraging supervised, unsupervised, reinforcement learning, AI-based solutions identify patterns, adapt emerging threats, automate complex processes. However, these approaches require robust governance maintain fairness, interpretability, security. This paper surveys AI's applications in financial risk, discusses challenges deployment, highlights future directions, including explainable AI, federated integrated RegTech solutions, requiring oversight.
Язык: Английский