This article examines the “digital welfare state” historically, presently, and into the future, with
a focus on what artificial intelligence means for welfare surveillance. Drawing on scholarship …

Every AI system that makes decisions about people has a group of stakeholders that are
personally affected by these decisions. However, explanations of AI systems rarely address …

Law enforcement agencies increasingly adopt algorithms for their policing practices, leading
to new accountability challenges. However, academic literature tends to regard algorithmic …

This paper explores citizens' stances toward the use of artificial intelligence (AI) in public
services in Norway. Utilizing a social contract perspective, the study analyzes the …

In this article, we critique the ways in which the people involved in the development and
application of AI systems often visualize and talk about AI systems. Often, they visualize such …

Explanations are conceived to ensure the trustworthiness of AI systems. Yet, relying
solemnly on algorithmic solutions, as provided by explainable artificial intelligence (XAI) …

The European public sector has for a long time tried to change its activities and its relation to
the public through the production and provision of data and data-based technologies …

Come ampiamente noto, e dibattuto da tempo, i dati personali costituiscono una materia
prima indispensabile e consustanziale all'esercizio delle funzioni pubbliche. Non è …

Human oversight is a fundamental safeguard against inappropriate judgments made by
machines about people who are the targets of these decisions. Although the General Data …

Attention for algorithmic systems (AS), including Artificial Intelligence, has increased in
recent years. Public organisations have digitalised, using standardisation and AS to …