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

Author

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  • 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
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    References listed on IDEAS

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    3. Bernd W. Wirtz & Wilhelm M. Müller, 2019. "An integrated artificial intelligence framework for public management," Public Management Review, Taylor & Francis Journals, vol. 21(7), pages 1076-1100, July.
    4. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
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