Abstract
Artificial Intelligence (AI) has recently advanced the state-of-art results in an ever-growing number of domains. However, it still faces several challenges that hinder its deployment in the e-government applications–both for improving the e-government systems and the e-government-citizens interactions. In this paper, we address the challenges of e-government systems and propose a framework that utilizes AI technologies to automate and facilitate e-government services. Specifically, we first outline a framework for the management of e-government information resources. Second, we develop a set of deep learning models that aim to automate several e-government services. Third, we propose a smart e-government platform architecture that supports the development and implementation of AI applications of e-government. Our overarching goal is to utilize trustworthy AI techniques in advancing the current state of e-government services in order to minimize processing times, reduce costs, and improve citizens’ satisfaction.
Highlights
A rtificial Intelligence (AI) has been around for some decades in several theoretical forms and complicated systems; only recent advances in computational powers and big data have enabled AI to achieve outstanding results in an ever-growing number of domains
We present several applications that depict how AI applications can help automating several e-government services
We introduced the definitions of artificial intelligence and e-government, briefly discussed the current state of e-government indices around the world, and proposed our solutions to advance the current state of e-government, considering the Gulf Countries as a case study
Summary
A rtificial Intelligence (AI) has been around for some decades in several theoretical forms and complicated systems; only recent advances in computational powers and big data have enabled AI to achieve outstanding results in an ever-growing number of domains. AI have tremendously advanced the areas of computer vision [1], medical applications [2], natural language processing [3], reinforcement learning [4], and several other domains. AI can be defined as the ability of a computer to imitate the intelligence of human behavior while improving its own performance. AI is robotics, rather an intelligent behavior of an autonomous machine that describes the brain of the machine and not its body; it can drive a car, play a game, and perform diverse sophisticated jobs. AI is a field that falls at the intersections of several other domains, including Machine Learning [5], Deep Learning [6], Natural Languages Processing [3], Context Awareness [7], and Data Security and Privacy [8].
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