IDEAS home Printed from https://ideas.repec.org/a/rom/terumm/v20y2025i2p81-103.html
   My bibliography  Save this article

Ai And Decision-Making: A Swot Analysis For Future Perspectives In Public Administration

Author

Listed:
  • Ömer Fuad KAHRAMAN

    (Faculty of Economics and Administrative Sciences, Department of Public Administration and Political Science, Hatay Mustafa Kemal University, Hatay, Türkiye)

Abstract

This study investigates the transformative impact of artificial intelligence (AI) on decision-making processes, with a particular focus on public administration. Traditionally grounded in human judgment, decision-making is being reshaped by the rapid advancement of AI technologies. The paper traces the historical evolution of AI, from early expert systems to current adaptive models, emphasizing its growing capacity to analyze complex data and support managerial decision-making. Through a SWOT analysis, the study evaluates AI’s strengths—including speed, accuracy, and enhanced transparency—and addresses critical concerns such as algorithmic bias, ethical risks, and the potential erosion of human strategic capacity. The findings suggest that while AI can significantly improve decision-making in public administration, it should serve as a complement rather than a replacement for human judgment. The study concludes by highlighting the necessity of ethical frameworks and regulatory oversight to ensure the responsible integration of AI in governance.

Suggested Citation

  • Ömer Fuad KAHRAMAN, 2025. "Ai And Decision-Making: A Swot Analysis For Future Perspectives In Public Administration," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 20(2), pages 81-103, May.
    • Handle: RePEc:rom:terumm:v:20:y:2025:i:2:p:81-103
    as

    Download full text from publisher

    File URL: https://um.ase.ro/v20i2/4.pdf
    Download Restriction: no
    ---><---

    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:rom:terumm:v:20:y:2025:i:2:p:81-103. 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: Colesca Sofia (email available below). General contact details of provider: https://edirc.repec.org/data/ccasero.html .

    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.