Companies increasingly deploy artificial intelligence (AI) technologies in their personnel
recruiting and selection process to streamline it, making it faster and more efficient. AI …

Purpose Gender bias in artificial intelligence (AI) should be solved as a priority before AI
algorithms become ubiquitous, perpetuating and accentuating the bias. While the problem …

The use of artificial intelligence (AI) technologies in organizations' recruiting and selection
procedures has become commonplace in business practice; accordingly, research on AI …

Assuming that potential biases of Artificial Intelligence (AI)-based systems can be identified
and controlled for (eg, by providing high quality training data), employing such systems to …

The recent rapid advancements in artificial intelligence research and deployment have
sparked more discussion about the potential ramifications of socially-and emotionally …

In recent years, machine learning (ML) modeling (often referred to as artificial intelligence)
has become increasingly popular for personnel selection purposes. Numerous …

The related literature and industry press suggest that artificial intelligence (AI)-based
decision-making systems may be biased towards gender, which in turn impacts individuals …

Abstract Algorithmic fairness in Information Systems (IS) is a concept that aims to mitigate
systematic discrimination and bias in automated decision making. However, previous …

When conducting qualitative research on elites, researchers often face issues regarding
time-constraints, power asymmetries, and rapport building. In this article, I outline the …

Artificial intelligence (AI)‐based job interviews are increasingly adopted in organizations'
recruitment activities. Despite their standardization and flexibility, concerns about fairness for …