"HOW ARE ARTIFICIAL INTELLIGENCE-BASED E-GOVERNMENT SYSTEMS IMPROVING THE EFFICIENCY OF PUBLIC SERVICES?"

This article examines the role of Artificial Intelligence (AI) in the development of e-government systems and modern public administration. The study analyzes how AI technologies improve governmental efficiency, accelerate public service delivery, and support data-driven decision-making processes. The research is based on qualitative methodology and relies on academic literature, international reports, and comparative case studies of Estonia, China, and Uzbekistan. The findings demonstrate that AI contributes to automation, transparency, accessibility, and administrative optimization in public governance. At the same time, the study identifies major challenges related to cybersecurity, data privacy, algorithmic bias, and ethical regulation. The article concludes that although AI has substantial potential to modernize e-government systems, its successful implementation depends on effective legal frameworks, institutional readiness, and the protection of citizens’ rights.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-16
DOI
https://doi.org/10.5281/zenodo.20240849
Primary Topic
E-Government and Public Services
Type
article
Field-Weighted Citation Impact
0.00
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article

"HOW ARE ARTIFICIAL INTELLIGENCE-BASED E-GOVERNMENT SYSTEMS IMPROVING THE EFFICIENCY OF PUBLIC SERVICES?"

Munirakhon Mukhitdinova, Fakhriyor Husan ugli Boyturayev
Zenodo (CERN European Organization for Nuclear Research)
E-Government and Public Services
article

"HOW ARE ARTIFICIAL INTELLIGENCE-BASED E-GOVERNMENT SYSTEMS IMPROVING THE EFFICIENCY OF PUBLIC SERVICES?"

Munirakhon Mukhitdinova, Fakhriyor Husan ugli Boyturayev
article en

Abstract

This article examines the role of Artificial Intelligence (AI) in the development of e-government systems and modern public administration. The study analyzes how AI technologies improve governmental efficiency, accelerate public service delivery, and support data-driven decision-making processes. The research is based on qualitative methodology and relies on academic literature, international reports, and comparative case studies of Estonia, China, and Uzbekistan. The findings demonstrate that AI contributes to automation, transparency, accessibility, and administrative optimization in public governance. At the same time, the study identifies major challenges related to cybersecurity, data privacy, algorithmic bias, and ethical regulation. The article concludes that although AI has substantial potential to modernize e-government systems, its successful implementation depends on effective legal frameworks, institutional readiness, and the protection of citizens’ rights.

Zenodo (CERN European Organization for Nuclear Research)
Division of Undergraduate Education (US), University of World Economy and Diplomacy (UZ)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
E-Government and Public Services
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