ORIGINAL RESEARCH article
Front. Public Health
Sec. Digital Public Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1694996
The Role of Artificial Intelligence in the Digital Transformation of Government: Opportunities and Ethical Challenges
Provisionally accepted- Viral Immunopathology Laboratory, Infection, Immunity and Inflammation Research Theme, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Australia, Sydney, Australia
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This study focuses on the application of artificial intelligence in the digital transformation of government services and the ethical issues that come with it. The research analyzed different paths of global artificial intelligence governance, with a particular focus on the three major frameworks of market-driven, government-guided, and regulatory-led. At the same time, it explored the application of artificial intelligence in government decision support systems, intelligent government services, and governance systems. Research indicates that the transformation empowered by artificial intelligence will bring about four major opportunities: strengthening the decision-making foundation and administrative execution efficiency; Improve the response speed and accuracy of public services; Enhance transparency and promote public participation; Upgrade cross-departmental collaboration through data sharing. The research also involves ethical issues such as algorithmic fairness, privacy and data regulation, definition of autonomous decision-making rights, division of responsibility boundaries, and the digital divide. Based on this, researchers have constructed a complete governance blueprint covering technology policies, regulatory frameworks, and cross-domain stakeholder collaboration, aiming to bridge the cognitive gap between society and technology, alleviate public concerns about public digital services, and balance technological progress and ethical constraints.
Keywords: artificial intelligence, Government Digital Transformation, IntelligentDecision Support, ethical governance, Algorithmic Fairness
Received: 29 Aug 2025; Accepted: 22 Oct 2025.
Copyright: © 2025 Fan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Youpeng Fan, thls72@163.com
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