Authors : Dumitru Gabriel Cristian; Toma Alexandru; Deak Elena Roxana; Neguțoiu Milian

Volume/Issue : Volume 11 - 2026, Issue 7 - July

Google Scholar : https://tinyurl.com/ystrvuz5

Scribd : https://tinyurl.com/msec698j

DOI : https://doi.org/10.38124/ijisrt/26jul390

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This paper provides a comprehensive conceptual model examining the intersection of artificial intelligence (AI) and citizen trust within public administration. As governments transition from traditional e-government to algorithmic governance, implementing automated systems such as AI-driven chatbots, automated benefit allocation and predictive administrative routing create a significant psychological and systemic trust deficit. This research conceptualizes a threedimensional framework to analyze and mitigate this deficit with a particular focus on algorithmic transparency, decisional equity, and data security. Hence, the proposed model addresses the shift from human-mediated bureaucracy to black-box algorithmic execution, therefore offering public managers an ethical blueprint for designing citizen-centric digital services that align with emerging regulatory mandates like the European Union AI Act.

Keywords : Algorithmic Governance, Public Administration, Citizen Trust, Artificial Intelligence, Ethical AI, Digital Transformation.

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