The Role of Artificial Intelligence in Risk Assessment and Mitigation in the Financial Sector

Artificial Intelligence (AI) is transforming the financial sector by enhancing risk assessment and mitigation processes. This article explores the various ways in which AI technologies, such as machine learning, deep learning, and natural language processing, are utilized to manage and mitigate financial risks, including credit, market, and operational risks. AI-driven tools enable financial institutions to predict, assess, and control risks with greater precision, reducing fraud, optimizing investment strategies, and enhancing decision-making processes. The paper also discusses the challenges faced in implementing AI in risk management, including data privacy concerns, regulatory issues, and integration difficulties. By examining case studies and current practices, this article highlights the significant impact of AI in reshaping risk management paradigms in the financial sector. The outlook for AI in this area is also discussed, emphasizing the potential for further innovations

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-02-28
DOI
https://doi.org/10.48175/ijarsct-23392
Citations
2
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
6.26
Controls
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article

The Role of Artificial Intelligence in Risk Assessment and Mitigation in the Financial Sector

Naga Ramesh Palakurti
2 citations
International Journal of Advanced Research in Science Communication and Technology
Insurance and Financial Risk Management
6.26
article

The Role of Artificial Intelligence in Risk Assessment and Mitigation in the Financial Sector

Naga Ramesh Palakurti
article en
2 citations

Abstract

Artificial Intelligence (AI) is transforming the financial sector by enhancing risk assessment and mitigation processes. This article explores the various ways in which AI technologies, such as machine learning, deep learning, and natural language processing, are utilized to manage and mitigate financial risks, including credit, market, and operational risks. AI-driven tools enable financial institutions to predict, assess, and control risks with greater precision, reducing fraud, optimizing investment strategies, and enhancing decision-making processes. The paper also discusses the challenges faced in implementing AI in risk management, including data privacy concerns, regulatory issues, and integration difficulties. By examining case studies and current practices, this article highlights the significant impact of AI in reshaping risk management paradigms in the financial sector. The outlook for AI in this area is also discussed, emphasizing the potential for further innovations

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 5%
Insurance and Financial Risk Management
6.26
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