This article reviews the literature that examines the potential, limitations, and consequences
of robots and artificial intelligence (AI) in automation and augmentation across various …

In recent years, both private and public organizations across contexts have begun
implementing AI technologies in their recruitment processes. This transition is typically …

Abstract Computer Aided Detection software based on Artificial Intelligence (AI-CAD),
combined with chest X-rays have recently been promoted as an easy fix for a complex …

AI-driven decision-making systems are becoming instrumental in the public sector, with
applications spanning areas like criminal justice, social welfare, financial fraud detection …

Public organizations are increasingly using automated decision-making (ADM) as a means
for improving efficiency. The automation, however, risk undermining their legitimacy if not …

Unjust algorithmic recommendations can lead decision makers to discriminatory choices,
risking harm to individuals or groups. This study addresses this concerning phenomenon …

Drawing upon a qualitative research project examining the use of algorithms in decisions
relating to access to housing, this article develops the concept of automation hesitancy. It …

Artificial intelligence (AI) and machine learning (ML) systems increasingly purport to deliver
knowledge about people and the world. Unfortunately, they also seem to frequently present …

In the context of the rise of algorithmic decision-making (ADM) systems, social scoring
systems are particularly controversial. They aim to encourage socially desirable behaviors …

Abstract National Statistical Organizations (NSOs) increasingly draw on Machine Learning
(ML) to improve the timeliness and cost-effectiveness of their products. When introducing ML …