Paper Type

Complete

Abstract

Artificial intelligence is increasingly shaping how governments communicate, deliver services, and support administrative work, yet “AI in government” remains fragmented and inconsistently defined. This study develops a conceptual framework for AI-Enabled Digital Government (AIDG) in an AI-Society context and positions AIDG relative to e-government/digital government and “intelligent e-government.” Using structured conceptual analysis, we develop a concept hierarchy, clarify definitional boundaries, propose a working definition of AIDG, and identify six core, interrelated sub-concepts: AI-Information, AI-Service, AI-Decision (algorithmic decision-making), AI-Oversight & Audit, AI-Participation, and AI Policy Support & Administrative Intelligence. We explain how these elements relate within an integrated model that links citizen-facing pathways, service and decision support, and cross-cutting oversight, illustrated with consolidated usage examples. The framework treats oversight and accountability safeguards as integral requirements for responsible AIDG, supports cumulative research on AI-enabled public governance, and provides a shared vocabulary for more consistent empirical operationalization across policy domains and administrative settings.

Paper Number

1216

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Aug 15th, 12:00 AM

Concepts of AI-Enabled Digital Government in an AI-Society

Artificial intelligence is increasingly shaping how governments communicate, deliver services, and support administrative work, yet “AI in government” remains fragmented and inconsistently defined. This study develops a conceptual framework for AI-Enabled Digital Government (AIDG) in an AI-Society context and positions AIDG relative to e-government/digital government and “intelligent e-government.” Using structured conceptual analysis, we develop a concept hierarchy, clarify definitional boundaries, propose a working definition of AIDG, and identify six core, interrelated sub-concepts: AI-Information, AI-Service, AI-Decision (algorithmic decision-making), AI-Oversight & Audit, AI-Participation, and AI Policy Support & Administrative Intelligence. We explain how these elements relate within an integrated model that links citizen-facing pathways, service and decision support, and cross-cutting oversight, illustrated with consolidated usage examples. The framework treats oversight and accountability safeguards as integral requirements for responsible AIDG, supports cumulative research on AI-enabled public governance, and provides a shared vocabulary for more consistent empirical operationalization across policy domains and administrative settings.