PPPS'2023 - Proactive and Personalised Public Services: Searching for Meaningful Human Control in Algorithmic Government

The future is likely to see an increase in the use of automated decision-making systems in the public sector, which employ Artificial Intelligence and, in particular, machine learning techniques, to enable more proactive and personalised delivery of public services. Proactive delivery can reduce the administrative burdens on citizens and...

Stage Models for Moving from E-Government to Smart Government

The emergence of super-applications is a complete game changer in how future governments will deliver e-services and interact with their citizens. With respect to this, the scope of currently established e-government stage models is exhausted. Therefore, this article proposes a “provident stage” as an extension of the Layne and Lee stage...