IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-032-29346-6_1.html

Transparent Augmentation in Research: Aligning Artificial Intelligence (AI) with Academic Integrity

In: Business and Sustainable Development in a Globalized and Digitalized Era

Author

Listed:
  • Kyle S. Wells

    (Utah Tech University, Department of Finance, School of Business)

Abstract

This article examines the integration of generative artificial intelligence (AI) into academic research from the perspective of research integrity. Drawing on the ALLEA Code of Conduct and aligned ethical frameworks, it proposes a model of ‘transparent augmentation’ in which AI is used to support, rather than replace human creative ability. The paper categorizes AI’s functional roles, assesses each against four key integrity principles—reliability, honesty, respect, and accountability—and synthesizes insights from recent literature to develop a proposed checklist for the ethical integration of AI. While generative AI offers powerful tools to accelerate research, it also presents risks related to authorship, attribution, and verifiability. I argue that an explicit and principled framework grounded in widely accepted codes of conduct offers the most sustainable approach.

Suggested Citation

  • Kyle S. Wells, 2026. "Transparent Augmentation in Research: Aligning Artificial Intelligence (AI) with Academic Integrity," Springer Proceedings in Business and Economics, in: Zafar U. Ahmed & Nhat Tan Pham (ed.), Business and Sustainable Development in a Globalized and Digitalized Era, pages 1-19, Springer.
  • Handle: RePEc:spr:prbchp:978-3-032-29346-6_1
    DOI: 10.1007/978-3-032-29346-6_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

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Z00 - Other Special Topics - - General - - - General

    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:prbchp:978-3-032-29346-6_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.