The recent surge in publications related to explainable artificial intelligence (XAI) has led to
an almost insurmountable wall if one wants to get started or stay up to date with XAI. For this …

A key insight from research on organizational justice is that fairness is in the eye of the
beholder. With increasing discussions–especially among computer scientists and …

Automated decision systems (ADS) are increasingly used for consequential decision-
making. These systems often rely on sophisticated yet opaque machine learning models …

We argue that explainable artificial intelligence (XAI), specifically reason-giving XAI, often
constitutes the most suitable way of ensuring that someone can properly be held …

Recently, requirements for the explainability of software systems have gained prominence.
One of the primary motivators for such requirements is that explainability is expected to …

The ever-increasing adoption of AI technologies in the hiring landscape to enhance human
resources efficiency raises questions about algorithmic decision-making's implications in …

Interviews are one of the most widely used selection methods, but their reliability and validity
can vary substantially. Further, using human evaluators to rate an interview can be …

Despite the increasing popularity of AI‐supported selection tools, knowledge about the
actions that can be taken by organizations to increase AI acceptance is still in its infancy …

Purpose Starting from the relevance of ethics to the application of artificial intelligence (AI) in
the context of employee recruitment and selection (R&S), in this article, we aim to provide a …

A major challenge with the increasing use of Artificial Intelligence (AI) applications is to
manage the long-term societal impacts of this technology. Two central concerns that have …