IDEAS home Printed from https://ideas.repec.org/a/fst/rfsisf/v8y2023i15p198-214.html
   My bibliography  Save this article

Integration of Artificial Intelligence in the Risk Management Process: An Analysis of Opportunities and Challenges

Author

Listed:
  • Georgiana-Ioana Țîrcovnicu

    (West University of Timisoara, Timisoara, Romania)

  • Camelia-Daniela Hațegan

    (West University of Timisoara, Timisoara, Romania)

Abstract

Enterprise risk management is a critical component in achieving long-term performance in any company seeking to achieve long-term results. Businesses face a variety of internal and external risks over time, some of which are more difficult to manage or eliminate than others. Recent times have shown that technological progress can have a significant influence on all industries. Artificial intelligence is a topic that is relevant today, given the advancements in the field and the increased interest from the public. We already know that many people are worried about artificial intelligence, particularly since this aspect has the potential to affect millions of people’s careers in finance and accounting. Nonetheless, if used appropriately, this risk might benefit people and should not always be seen negatively. The article examines how artificial intelligence can be incorporated into risk management procedures, with an emphasis on the accounting and financial domains. The use of artificial intelligence in the analysis of vast volumes of financial data and the successful detection of anomalies, which improves risk assessment and promotes improved decision-making, is one significant topic addressed. The article’s primary objective is to analyse how financial institutions can improve their performance by integrating artificial intelligence into risk management strategies. The sample, which consists of financial institutions listed on the Bucharest Stock Exchange, highlights the difficulties and moral issues surrounding the application of AI in the financial industry, such as data security, interpretability of algorithms, and decision-making accountability. Exploring these aspects provides a comprehensive perspective of how AI is changing and improving risk management in the accounting and financial sectors, emphasizing both the advantages and difficulties of this significant transformation. This case study provides a window into how financial risk analysis is changing in the modern era and shows how embracing AI technology can be a transformative force for risk management.

Suggested Citation

  • Georgiana-Ioana Țîrcovnicu & Camelia-Daniela Hațegan, 2023. "Integration of Artificial Intelligence in the Risk Management Process: An Analysis of Opportunities and Challenges," Journal of Financial Studies, Institute of Financial Studies, vol. 8(15), pages 198-214, November.
  • Handle: RePEc:fst:rfsisf:v:8:y:2023:i:15:p:198-214
    DOI: 10.55654/JFS.2023.8.15.13
    as

    Download full text from publisher

    File URL: https://revista.isfin.ro/wp-content/uploads/2023/11/13.-Tircovnicu-Georgiana.pdf
    Download Restriction: no

    File URL: https://revista.isfin.ro/2023/11/28/integration-of-artificial-intelligence-in-the-risk-management-process-an-analysis-of-opportunities-and-challenges/
    Download Restriction: no

    File URL: https://libkey.io/10.55654/JFS.2023.8.15.13?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ionut Anica-Popa & Liana Anica-Popa & Cristina Radulescu & Marinela Vrincianu, 2021. "The Integration of Artificial Intelligence in Retail: Benefits, Challenges and a Dedicated Conceptual Framework," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 120-120, February.
    2. Bernd W. Wirtz & Jan C. Weyerer & Benjamin J. Sturm, 2020. "The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration," International Journal of Public Administration, Taylor & Francis Journals, vol. 43(9), pages 818-829, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andreja Mihailović & Julija Cerović Smolović & Ivan Radević & Neli Rašović & Nikola Martinović, 2021. "COVID-19 and Beyond: Employee Perceptions of the Efficiency of Teleworking and Its Cybersecurity Implications," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    2. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    3. Ologunebi, John, 2023. "An analysis of customer retention strategies in e-commerce fashion business in the UK: A case study of Primark," MPRA Paper 119040, University Library of Munich, Germany.
    4. Pelau Corina & Volkmann Christine & Barbul Maria & Bojescu Irina, 2023. "The Role of Attachment in Improving Consumer-AI Interactions," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1075-1084, July.

    More about this item

    Keywords

    risk management; artificial intelligence; challenges; opportunities; accounting.;
    All these keywords.

    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fst:rfsisf:v:8:y:2023:i:15:p:198-214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Cosmin Catalin Olteanu (email available below). General contact details of provider: https://edirc.repec.org/data/isfinro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.