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The Impact of Artificial Intelligence On Financial Risk Management
Subject area: Management and Commerce · Area of research: Finance, Technology and Mangement
Abstract
The revolutionary effect of artificial intelligence (AI) on financial risk management is examined in this paper. The quick development of AI technologies and their incorporation into financial systems have completely changed the way financial organizations recognize, evaluate, and manage risks. The several AI-driven methods and instruments used in financial risk management, including predictive analytics, natural language processing, and machine learning, are examined in this paper. A review of upcoming trends and their possible effects on the financial industry concludes the conversation, which also addresses the difficulties and moral issues surrounding the application of AI in this sector.
Keywords
Artificial Intelligence (AI), Financial Risk Management, Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Cybersecurity, Real-Time Monitoring, and Decision-Making Optimization.
How to cite this paper
@article{1706188,
author = {Adedeji M. Ishola, Musa S. Obansa},
title = {The Impact of Artificial Intelligence On Financial Risk Management},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {8},
number = {2},
pages = {942-956},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1706188.pdf},
abstract = {The revolutionary effect of artificial intelligence (AI) on financial risk management is examined in this paper. The quick development of AI technologies and their incorporation into financial systems have completely changed the way financial organizations recognize, evaluate, and manage risks. The several AI-driven methods and instruments used in financial risk management, including predictive analytics, natural language processing, and machine learning, are examined in this paper. A review of upcoming trends and their possible effects on the financial industry concludes the conversation, which also addresses the difficulties and moral issues surrounding the application of AI in this sector.},
keywords = {Artificial Intelligence (AI), Financial Risk Management, Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Cybersecurity, Real-Time Monitoring, and Decision-Making Optimization.},
month = {August},
}