Digital Civil Servants: The Integration of Artificial Intelligence into Government Workflows

Szűcs, Petra (2026) Digital Civil Servants: The Integration of Artificial Intelligence into Government Workflows. In: Central and Eastern European eDem and eGov Days 2025 (CEEeGov 2025). ACM Press, New York, pp. 110-116. ISBN 9798400721977

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Abstract

This research investigates how Artificial Intelligence (AI) operates within public administration systems while studying the institutional elements, ethical concerns and social impacts that affect its implementation. Governments worldwide experience increasing pressure to improve their digital transformation efforts because they need to enhance efficiency alongside transparency and service quality through AI applications. AI implementation faces challenges because organizations have different capabilities and policy frameworks and citizens hold varying levels of trust. The research investigates the main factors, which influence public administration AI adoption and their effects on service delivery and governance outcomes. Research has demonstrated AI’s operational optimization potential yet lacks thorough examinations of institutional barriers and socio-technical challenges. The research draws from existing literature through qualitative-analytical methods to combine recent empirical findings and policy evaluations, which identify essential factors for AI integration success. Public institutions require more than infrastructure and technical resources to achieve AI readiness because they need leadership dedication combined with legal frameworks and ethical standards and staff training in AI fundamentals. The acceptance of AI by citizens depends on their ability to see through algorithms and believe they operate fairly. The research demonstrates that responsible AI deployment requires integrated strategies, which unite legal framework development with organizational transformation and public participation initiatives. The research provides essential guidance for policy development by showing how governments should integrate AI systems with democratic principles and public expectations.

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