Artificial Intelligence in Electronic Government (E-government)

Dear Colleagues,

Providing public services for citizens in a region and country represents multiple large and complex challenges for governments around the world. Simultaneously, the digitalization of societies and the rapid development of artificial intelligence technology (AIT) create opportunities for governments to pursue ambitions of increasing the efficiency and reducing the cost of service provision. The traditional electronic government (e-government), based on the use of computers and communication technology for service provision, has entered a new age.

Over the past decade, there has been a rapid increase in the use of AIT within many government services. The provision of welfare services, public security, health, and educational services are some of the areas in which AIT is being actively used. However, the application and research of the use of AIT within e-government are still in their early stages. Furthermore, while there are notable positive effects in applying AIT for the provision of public services, issues regarding privacy, fairness, trustworthiness, accessibility, inclusion, and accountability are raised by the adoption of these new technologies. Considering this brave new world of possibilities for e-government, the focus of this Special Issue is on the use of AIT in governmental public services. Governmental services are, for instance:

• social services and welfare
• healthcare
• courts
• energy and electricity
• school and education
• transportation infrastructure and public transport
• security and safety of critical infrastructure

Before submission, it is important that the authors clearly describe which governmental service(s) is addressed. Contributions should contain an explicit discussion of the implications of the AIT presented on issues like trustworthiness, privacy, inclusion, fairness, and the accountability of government. The editors also welcome empirical studies about how citizens or administrators perceive, react to, or are affected by the implementation of AIT-based governmental services. Furthermore, articles describing studies performed in collaboration with governmental bodies are encouraged.

Prof. Dr. Hugo Lewi Hammer
Dr. Yuri Kasahara
Dr. Hanne Cecilie Geirbo
Prof. Dr. Michael Alexander Riegler
Guest Editors

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• e-government
• artificial intelligence