IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-328-3_34.html

The Liberating Effect of AI in Organizations

In: Proceedings of the 1st Bengkulu International Conference on Economics, Management, Business and Accounting (BICEMBA 2023)

Author

Listed:
  • Vehap Kola

    (University of New York Tirana, Department of Business and Administrative Sciences)

Abstract

ABSTRACT In the evolving landscape of organizational dynamics, AI emerges not as a usurper of human roles, but as a liberator, unshackling the human workforce from the confines of monotonous and mechanized tasks. This paper delves into a nuanced exploration of the harmonious coexistence of AI and human ingenuity, positing that AI’s takeover of routine tasks paves the way for enhanced human contribution in organizations. We meticulously examine three cardinal domains of unassailable human predominance: the richness of human experience, intricate tapestry of intersubjective relations, and profound depths of symbolism and identity. Each domain was dissected, illustrating the irreplaceable nature of human touch and the ensuing enrichment of organizational culture and performance. In conclusion, we propose a counternarrative to the dystopian discourse of AI as a displacer of the human workforce. We assert that AI, in its mechanized precision, liberates human creativity and innovation, fostering an environment in which human potential is not subjugated but is unleashed, accentuated, and celebrated. We argue that this infusion of human essence will redefine organizational success and innovation, making them not just technologically advanced but also richly humanized, creative, and value-centric.

Suggested Citation

  • Vehap Kola, 2023. "The Liberating Effect of AI in Organizations," Advances in Economics, Business and Management Research, in: Roosemarina Anggraini Rambe & Lizar Alfansi & Robinson Robinson & Dewi Rahmayanti & Agustina Suparya (ed.), Proceedings of the 1st Bengkulu International Conference on Economics, Management, Business and Accounting (BICEMBA 2023), pages 275-282, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-328-3_34
    DOI: 10.2991/978-94-6463-328-3_34
    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:advbcp:978-94-6463-328-3_34. 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.