Integrating Artificial Intelligence into Public Administration: Challenges and Vulnerabilities DOI Creative Commons
Anca Florentina Vatamanu, Mihaela Tofan

Administrative Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 149 - 149

Published: April 18, 2025

This study explores the application of artificial intelligence (AI) in public administration, examining its potential to enhance efficiency, sustainability, and resilience government actions. The research develops a theoretical framework assess relationship among AI integration, governance improvements, economic benefits, as measured by key components Digital Economy Society Index (DESI). Utilizing factor analysis ordinary-least-squares (OLS) regression, this provides empirical insights into how AI-driven applications contribute service delivery growth. findings highlight that has improve significantly. Still, transition AI-enhanced administration is accompanied challenges such algorithmic bias, cybersecurity risks, workforce adaptation, ethical issues. emphasizes need for robust structures, comprehensive security measures, active involvement address these challenges. By proposing clear managing contributes literature on digital transformation sector offers actionable policymakers practitioners. Future should examine AI’s broader across diverse contexts, ensuring remains aligned with democratic values, trust, long-term sustainability.

Language: Английский

Integrating Artificial Intelligence into Public Administration: Challenges and Vulnerabilities DOI Creative Commons
Anca Florentina Vatamanu, Mihaela Tofan

Administrative Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 149 - 149

Published: April 18, 2025

This study explores the application of artificial intelligence (AI) in public administration, examining its potential to enhance efficiency, sustainability, and resilience government actions. The research develops a theoretical framework assess relationship among AI integration, governance improvements, economic benefits, as measured by key components Digital Economy Society Index (DESI). Utilizing factor analysis ordinary-least-squares (OLS) regression, this provides empirical insights into how AI-driven applications contribute service delivery growth. findings highlight that has improve significantly. Still, transition AI-enhanced administration is accompanied challenges such algorithmic bias, cybersecurity risks, workforce adaptation, ethical issues. emphasizes need for robust structures, comprehensive security measures, active involvement address these challenges. By proposing clear managing contributes literature on digital transformation sector offers actionable policymakers practitioners. Future should examine AI’s broader across diverse contexts, ensuring remains aligned with democratic values, trust, long-term sustainability.

Language: Английский

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