This study aims to address the research gap on algorithmic discrimination caused by AI-
enabled recruitment and explore technical and managerial solutions. The primary research …

We present a targeted review of recent developments and advances in digital selection
procedures (DSPs) with particular attention to advances in internet-based techniques. By …

Purpose The purpose of this study is to contribute to the knowledge on the opportunities and
risks in the use of artificial intelligence (AI) in recruitment and selection by exploring the …

The use of AI-enabled hiring software raises questions about the practice of Human
Resource (HR) professionals' use of the software and its consequences. We interviewed 15 …

In this article, we examine the state-of-the-art and current applications of artificial intelligence
(AI), specifically for human resources (HR). We study whether, due to the experimental state …

Data shapes the development of Artificial Intelligence (AI) as we currently know it, and for
many years centralized networking infrastructures have dominated both the sourcing and …

When it comes to algorithmic rights and protections for children, designers will need to face
new paradigms to solve problems they are targeting. The field of Design typically deals with …

Many practical applications, ranging from paper-reviewer assignment in peer review to job-
applicant matching for hiring, require human decision makers to identify relevant matches by …

Abstract Artificial Neural Networks (ANNs) are increasingly used for discrete choice analysis,
being appreciated in particular for their strong predictive power. However, many choice …

Two decades into the 21st century, the pace of technological innovation has never been
faster. It far outpaces the ability of the public, private, and nonprofit sectors to enact new …