Document Type : Research Paper
Authors
1 PhD Candidate, Futures Studies Department, Faculty of Governance, University of Tehran, Tehran, Iran.
2 PhD Candidate, Department of Public Administration and Policy Making, Faculty of Public Administration and Organizational Sciences, College of Management, University of Tehran, Tehran, Iran.
3 Assistant Professor, Faculty of Governance, College of Management, University of Tehran, Tehran, Iran Corresponding Author: dehghanpur@ut.ac.ir
Abstract
The rapid emergence of Artificial Intelligence (AI) and novel digital technologies has initiated a fundamental transformation in the public governance sphere, yet a profound gap is observed between their technical capabilities and practical application within governmental organizations. This research aims to conduct a futures study on the smart public governance of government human capital and delineate the strategic trajectory for intelligent transformation in light of digital evolution. The body of literature selected for the meta-synthesis included all scholarly articles and reports published between 2020 and 2025 addressing AI in the public sector, digital transformation, and data-driven governance. In the first phase, the meta-synthesis method was employed to systematically identify the key uncertainties and main drivers of governance transformation. In the second phase, the probable scenarios for the future of smart public governance were developed. The research findings highlighted the complex dimensions of this transformation, which include the pressing need for the public sector to acquire human resources with digital competencies, as well as the necessity of establishing coherent public governance frameworks to manage risks and algorithmic biases.
Keywords
- Smart Public Governance
- Artificial Intelligence
- Digital Transformation
- Data-Driven Governance
- Foresight
Main Subjects
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