Artificial intelligence in financial risk management: A critical comparison of approaches and innovations – Part 1

Artificial intelligence (AI) is revolutionising financial risk management by providing innovative tools to address diverse challenges. In two papers in the series ‘Machine Finance’ the author critically examines the integration of AI technologies into the financial sector, emphasising its applications in managing risks such as credit, market, operational and compliance. This highlights the transformative potential of AI-driven models and analytics, which offer enhanced precision, real-time monitoring and robust predictive capabilities. Additionally, this study explores the ethical and regulatory challenges associated with AI adoption, particularly within frameworks such as the European Union (EU) Artificial Intelligence Act (AI Act). By comparing traditional risk management methods with AI-enabled approaches, this paper aims to provide practical insights into the future of financial stability and resilience through advanced AI-driven strategies. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

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Publication Details

Journal
Journal of AI, robotics & workplace automation.
Published
2025-04-25
DOI
https://doi.org/10.69554/uwzn2877
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence in financial risk management: A critical comparison of approaches and innovations – Part 1

Jörg Orgeldinger
Journal of AI, robotics & workplace automation.
Insurance and Financial Risk Management
article

Artificial intelligence in financial risk management: A critical comparison of approaches and innovations – Part 1

Jörg Orgeldinger
article en

Abstract

Artificial intelligence (AI) is revolutionising financial risk management by providing innovative tools to address diverse challenges. In two papers in the series ‘Machine Finance’ the author critically examines the integration of AI technologies into the financial sector, emphasising its applications in managing risks such as credit, market, operational and compliance. This highlights the transformative potential of AI-driven models and analytics, which offer enhanced precision, real-time monitoring and robust predictive capabilities. Additionally, this study explores the ethical and regulatory challenges associated with AI adoption, particularly within frameworks such as the European Union (EU) Artificial Intelligence Act (AI Act). By comparing traditional risk management methods with AI-enabled approaches, this paper aims to provide practical insights into the future of financial stability and resilience through advanced AI-driven strategies. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Journal of AI, robotics & workplace automation.Vol. 3(4)
Openalex Percentile: Top 87%
Insurance and Financial Risk Management
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Artificial intelligence in financial risk management: A critical comparison of approaches and innovations – Part 1 — Jörg Orgeldinger · Journal of AI, robotics & workplace automation. (2025) | TGRS Research Map | TGRS