IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-032-11195-1_1.html

Introduction to AI in Accounting and Finance

In: Prompt Engineering for Accounting and Finance

Author

Listed:
  • Sunil Kumar

    (Roger Williams University)

  • Atreya ‘Chuck’ Chakraborty

    (University of Massachusetts System)

  • Poojan Patel

    (Bryant University)

Abstract

This chapter introduces Artificial Intelligence (AI) as a transformative force in accounting and finance, outlining the profession’s evolution from rule-based systems to adaptive, data-driven technologies. It explains key concepts—including machine learning, generative AI, and large language models—and distinguishes AI from traditional software through its ability to learn, recognize patterns, and generate analytical narratives. Through applied professional examples, the chapter demonstrates how AI enhances auditing, financial reporting, forecasting, compliance, and fraud detection. A central contribution is the positioning of prompt engineering—the structured design of AI instructions—as a critical professional skill that connects domain expertise with AI capability. The chapter argues that AI literacy is both a technological and ethical imperative: while AI improves efficiency and insight generation, professionals remain responsible for validating outputs, protecting confidentiality, and maintaining accountability in financial decision-making.

Suggested Citation

  • Sunil Kumar & Atreya ‘Chuck’ Chakraborty & Poojan Patel, 2026. "Introduction to AI in Accounting and Finance," Springer Books, in: Prompt Engineering for Accounting and Finance, chapter 1, pages 1-36, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-11195-1_1
    DOI: 10.1007/978-3-032-11195-1_1
    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

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:sprchp:978-3-032-11195-1_1. 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.