AI AND DECISION-MAKING A SWOT ANALYSIS FOR FUTURE PERSPECTIVES IN PUBLIC ADMINISTRATION

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...

Full description

Saved in:
Bibliographic Details
Published inTheoretical and Empirical Researches in Urban Management Vol. 20; no. 2; pp. 81 - 103
Main Author Kahraman, Omer Fuad
Format Journal Article
LanguageEnglish
Published Bucharest Research Center in Public Administration and Public Services 01.05.2025
Academia de Studii Economice Bucuresti
Research Centre in Public Administration & Public Services
Subjects
Online AccessGet full text
ISSN2065-3913
2065-3921

Cover

Loading…
More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2065-3913
2065-3921