Jul 2026· Journal of Administrative Development· Vol 4, pp. 67-89· 0 citations· 16 references
TL;DR
A conceptual framing theory is developed that frames AI as an enabler to citizen-centric public administration and not as a tool of administrative automation to address the complex interplay of AI with a citizen-centric governance in developing democratic countries.
Abstract
The integration of AI in public administration marks a major paradigm shift in governance worldwide, but its impact on citizen-centric service delivery is still remain inadequate. This paper attempts to fill this conceptual gap by developing a conceptual framing theory that frames AI as an enabler to citizen-centric public administration and not as a tool of administrative automation. Drawing from governance theories, digital transformation and emerging literature on algorithmic accountability, this paper considers the ways in which AI can foster governance that is transparent, inclusive, responsive, accountable and welfare oriented. The paper traces the transition from traditional bureaucracy through digital governance to AI-enabled administration and discusses the opportunities and challenges in India’s governance ecosystem. The study also presents a theoretical framework that includes public value theory, the practice of new public governance, and the principles of data justice. The proposed frameworkemphasises on the constitutional accountability, participatory design and ethical safeguards as pivotal to AI deployment in public services. Policy implications shed light on the necessity of specialized regulatory framework, capacity building programs, and institutional mechanism in order for AI to both enhance and not weaken democratic values and citizens’ rights. This conceptual contribution provides guidance for both policy makers and institutional authorities in addressing the complex interplay of AI with a citizen-centric governance in developing democratic countries.
This Policy and Practice Review concludes that AI-enabled administration remains legitimate only where public authorities retain the capacity to understand, justify, correct, suspend and democratically control the systems they use.
A. Dragomir, Iulea Bulea, Lucian Tarnu· Frontiers in Political Scien...· 2 citations
A normative analysis of thirteen recent studies on the challenges of technology implementation, ethical trust, and legal regulation suggests that the current governance dilemma stems not only from technological limitations but also from institutional neglect, which enables accountability avoidance.
The central claim is that constitutional and democratic requirements should not be treated as external compliance burdens when embedded into institutional design, they operate as productive constraints that improve legitimacy, implementation discipline, and the long-term trustworthiness of AI-enabled public decision-ma...
C. Oliveira· Open Access Journal of Data...· 0 citations
This paper explores how AI risk governance can be effectively integrated into the epistemological and structural foundations of such organizations through the lens of fourth-order cybernetics, and offers a conceptual pathway for resilient and ethically aligned AI implementation in complex organizational environments.
Ludmila Jiříčková, Petr Doucek· International Scientific Con...· 0 citations
Abstract: Artificial Intelligence (AI) and digital transformation are changing the global public governance landscape in today's fast-changing world. This paper addresses the important nexus of technological progress and institutional trust in the context of the Presidential Decree, which has been proclaimed as the Yea...
Shaza Khalid· Budi Luhur Journal of Strate...· 0 citations
Digital transformation through AI should be understood not only as a technological modernization strategy but also as a comprehensive administrative reform that can improve bureaucratic performance when supported by institutional capacity, regulatory safeguards, and a strong commitment to public value.
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