IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05748656.html

Reciprocity in the Age of Algorithms: How AI Transparency and Fairness Drive Engagement and Autonomy

Author

Listed:
  • Rayane Elidrissi

    (LAB IAE Paris - Sorbonne - IAE Paris - Sorbonne Business School)

  • Kevin Sevag Kertechian

    (ESSCA - ESSCA – École supérieure des sciences commerciales d'Angers = ESSCA Business School)

Abstract

Emma trusted her HR department until an AI-based decision-support tool in HRM decided, without explanation, not to promote her. Was it fair? As AI-driven HR tools increasingly shape careers, their transparency and fairness are becoming crucial. We explore their impact on workplace behaviour. Using social exchange theory mediated by AI (SET-AI), we investigate the extent to which AI functions as an exchange partner that affects employee engagement and autonomy. We surveyed 300 employees who were subject to AI-based HR decisions, specifically how they perceived transparency and fairness in AI-driven HR tools, and how these perceptions shaped their autonomy and engagement. Our findings show that transparency and fairness in AI governance play a critical role in fostering employee autonomy and engagement. We thus recommend that organizations implement mechanisms to ensure explainability and fairness in the use of AI-driven tools. Future researchers should explore the long-term effects of AI transparency and fairness on employee behaviour across various industries to deepen understanding of AI's evolving role in organizations.

Suggested Citation

  • Rayane Elidrissi & Kevin Sevag Kertechian, 2025. "Reciprocity in the Age of Algorithms: How AI Transparency and Fairness Drive Engagement and Autonomy," Post-Print hal-05748656, HAL.
    • Handle: RePEc:hal:journl:hal-05748656
    DOI: 10.7202/1126110ar
    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:hal:journl:hal-05748656. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.