IDEAS home Printed from https://ideas.repec.org/h/spr/csrchp/978-3-032-16077-5_15.html

Artificial Intelligence and Financial Accounting Education: Opportunities and Challenges for Their Sustainability

Author

Listed:
  • Fabrizio Di Meo

    (Universidad de Alcalá, Department of Economics and Business)

Abstract

The purpose of this chapter is to analyze opportunities in sustainability but also challenges that Artificial Intelligence (AI) brings to financial accounting education (FAE). The analysis of the existing literature will focus on the evolution so far of AI in education in general and in FAE more specifically, and then challenges and recommendations will be discussed. AI provides several opportunities to FAE, but it also implies challenges. AI can enhance sustainability of educational systems through personalized learning experiences, adaptive and instant assessments, and simulations of real-world scenarios. However, the use of AI in FAE might lead to a reduction of routine tasks, such as double-entry bookkeeping or computations of accounting ratios, possibly decreasing students’ technical skills. Greater collaboration between educational institutions and accounting professions is also required to adapt students’ curricula to the industry needs, which are also likely to be affected by AI. Finally, AI raises ethical issues, like biases in the algorithms or data privacy, that might threaten the sustainability of education in general and of FAE in particular. As a whole, AI provides opportunities and challenges that should be carefully considered in designing the sustainability of education, including FAE.

Suggested Citation

  • Fabrizio Di Meo, 2026. "Artificial Intelligence and Financial Accounting Education: Opportunities and Challenges for Their Sustainability," CSR, Sustainability, Ethics & Governance,, Springer.
    • Handle: RePEc:spr:csrchp:978-3-032-16077-5_15
    DOI: 10.1007/978-3-032-16077-5_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    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:spr:csrchp:978-3-032-16077-5_15. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.