Public Administration 5.0: Enhancing Governance and Public Services with Smart Technologies

This integrative literature review examines the transformative impact of advanced technologies, particularly artificial intelligence (AI), Internet of Things (IoT), and blockchain, on public administration. It addresses the urgent need for enhanced operational efficiency and transparency through AI-driven decision-making. The study reviews current literature to highlight AI's potential to revolutionize public service delivery, improve smart city initiatives, and enable data-driven policy-making. Significant challenges such as data privacy, algorithmic transparency, and ethical considerations are also identified. The methodology involves a comprehensive review of scholarly articles, reports, and academic publications, focusing on AI applications in public administration and smart technologies. The analysis reveals notable improvements in operational efficiency and transparency due to AI, alongside concerns about biases, transparency, and implementation issues. The findings confirm AI's transformative potential in public administration but emphasize the necessity for ongoing supervision, regular audits, and the development of AI models capable of detecting and rectifying operational anomalies. The study proposes creating positions such as Public Administration AI Ethics Officers (PAAIEOs), Public Administration Data Transparency Managers (PADTMs), and Public Administration Predictive Analytics Officers (PAPAOs) to ensure responsible AI utilization, maintaining the integrity and efficiency of public services while addressing implementation challenges. The review concludes that AI is promising for transforming public administration; however, careful implementation is crucial to uphold operational integrity and resilience. Future research should prioritize longitudinal studies to evaluate AI's long-term impact, focus on addressing implementation concerns, and ensure fair and transparent integration of AI technologies. These findings have significant implications for practice and policy, underscoring the need for robust frameworks and regulatory measures to guide the effective use of AI in public administration.