IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-032-08872-7_4.html

Ethical Considerations

In: AI for Qualitative Research

Author

Listed:
  • Diana Garcia Quevedo

    (ESCP Business School, Center of Research in Sustainability (RESET))

  • Josue Kuri

    (Principal Scientist)

Abstract

This chapter addresses the ethical implications of employing large language models (LLMs) in research contexts, highlighting the increasing importance of responsible artificial intelligence (AI) use. By focusing on the integration of LLMs in the context of research methodologies, this chapter outlines specific ethical challenges, including algorithmic bias, data privacy concerns, and the inherent lack of transparency and explainability in LLM outputs. This emphasizes the necessity for researchers to rigorously validate LLM-generated outputs and maintain a balance between leveraging the efficiency of AI and preserving the richness of qualitative analysis. Ultimately, the chapter advocates for a knowledgeable and critical approach to using LLMs, fostering an informed research community that values ethical standards in the application of AI technologies.

Suggested Citation

  • Diana Garcia Quevedo & Josue Kuri, 2026. "Ethical Considerations," Springer Books, in: AI for Qualitative Research, chapter 4, pages 35-45, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-08872-7_4
    DOI: 10.1007/978-3-032-08872-7_4
    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:978-3-032-08872-7_4. 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.