IDEAS home Printed from https://ideas.repec.org/h/ito/pchaps/231318.html
   My bibliography  Save this book chapter

Artificial Intelligence and Bank Soundness: Between the Devil and the Deep Blue Sea - Part 2

In: Operations Management - Emerging Trend in the Digital Era

Author

Listed:
  • Sina Joneidy
  • Charmele Ayadurai

Abstract

Banks have experienced chronic weaknesses as well as frequent crisis over the years. As bank failures are costly and affect global economies, banks are constantly under intense scrutiny by regulators. This makes banks the most highly regulated industry in the world today. As banks grow into the 21st century framework, banks are in need to embrace Artificial Intelligence (AI) to not only to provide personalized world class service to its large database of customers but most importantly to survive. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions challenges from the main strand of CAMELS into distinct categories of AI into 1(C), 4(A), 17(M), 8 (E), 1(L), 2(S) categories that banks and regulatory teams need to consider in evaluating AI use in banks. Although AI offers numerous opportunities to enable banks to operate more efficiently and effectively, at the same time banks also need to give assurance that AI 'do no harm' to stakeholders. Posing many unresolved questions, it seems that banks are trapped between the devil and the deep blue sea for now.

Suggested Citation

  • Sina Joneidy & Charmele Ayadurai, 2021. "Artificial Intelligence and Bank Soundness: Between the Devil and the Deep Blue Sea - Part 2," Chapters, in: Antonella Petrillo & Fabio De Felice & Germano Lambert-Torres & Erik Leandro Bonaldi (ed.), Operations Management - Emerging Trend in the Digital Era, IntechOpen.
  • Handle: RePEc:ito:pchaps:231318
    DOI: 10.5772/intechopen.95806
    as

    Download full text from publisher

    File URL: https://www.intechopen.com/chapters/75054
    Download Restriction: no

    File URL: https://libkey.io/10.5772/intechopen.95806?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
    ---><---

    More about this item

    Keywords

    bank; bank soundness; financial sector; Artificial Intelligence (AI); CAMELS;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

    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:ito:pchaps:231318. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Slobodan Momcilovic (email available below). General contact details of provider: http://www.intechopen.com .

    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.