Impact of Artificial Intelligence on Financial Risk Management

Artificial Intelligence (AI) has become a transformative force in financial risk management, offering innovative tools to enhance predictive accuracy, efficiency, and decision-making processes. This research explores how AI technologies, such as machine learning, natural language processing, and neural networks, are revolutionizing traditional approaches to risk assessment and mitigation. By analyzing vast datasets, AI enables financial institutions to identify potential risks, detect anomalies, and respond to crises with unprecedented speed. However, integrating AI into financial systems also presents challenges, including algorithmic biases, regulatory concerns, and cybersecurity vulnerabilities. Through an interdisciplinary approach, this study examines the benefits and limitations of AI-driven risk management solutions, offering insights into their practical applications and ethical implications. The findings highlight the potential of AI to redefine risk management practices while emphasizing the need for robust frameworks to address associated risks.