Authors : Moussab El khair Ghoujdam; Rachid Chaabita; Salwa idamia; Oussama El khalfi; Hicham El Alaoui; Kamal Zehraoui

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/5n7zp6j9

Scribd : https://tinyurl.com/kdmbaees

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY2125

Abstract : This article delves into the transformative effects of Artificial Intelligence (AI) and Machine Learning (ML) on the realm of risk management. AI and ML technologies have revolutionized risk assessment, mitigation, and management across various sectors by offering advanced analytical capabilities and automated decision-making processes. In the financial sector, for instance, these technologies have facilitated improvements in loan decision processes, fraud detection, and compliance. Partnerships like ZestFinance and Baidu exemplify the successful application of AI in enhancing loan decisions based on vast data analysis. Despite the evident benefits, challenges such as model-related risks, data availability and protection, and the need for skilled personnel persist. This article aims to provide a comprehensive overview of the current applications of AI and ML in risk management while identifying opportunities for further research and development in this rapidly evolving field.

Keywords : Artificial Intelligence (AI) ; Machine Learning (ML); Risk Management; Credit Risk; Market risk; Operational Risk.

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