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ISSN 2063-5346
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Automating E-Government Services with Artificial Intelligence

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Abstract

Artificial Intelligence (AI) has recently improved state-of-art results in an ever growing number of domains. Yet, there are still a number of issues that prevent its use in e-government applications, both for enhancing e-government systems and citizen interactions. In this paper, we discuss the problems with e-government systems and suggest a paradigm for automating and facilitating e-government services. Specifically, wrest outline a framework for the management of e- government information resources. The second step is to create a collection of deep learning models with the goal of automating various e-government services. Third, we suggest an intelligent e-government platform architecture that enables the creation and execution of AI e-government applications. Our overarching goal is to utilize trust worthy AI techniques in advancing the current state of e-government services in order to minimize processing times, reduce costs, and improve citizens satisfaction.

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