Artificial Intelligence (AI) as decision support for personnel preselection, eg, in the form of a
dashboard, promises a more effective and fairer selection process. However, AI-based …

While the emerging research field of explainable artificial intelligence (XAI) claims to
address the lack of explainability in high-performance machine learning models, in practice …

In this paper we explore the effect of explanations on reducing errors in the human decision
making process caused by placing excessive reliance on automated decision support …

The fourth industrial revolution (Industry 4.0) is significantly changing industrial work by
introducing interconnected machines and leveraging Artificial Intelligence (AI) to collect and …

The true potential of human-AI collaboration lies in exploiting the complementary
capabilities of humans and AI to achieve a joint performance superior to that of the individual …

Amid mounting interest in artificial intelligence (AI) technology, communication scholars
have sought to understand humans' perceptions of and attitudes toward AI's predictions …

Due to the inherent presence of uncertainty in machine learning (ML) systems, the usage of
ML is until now out of scope for many critical (financial) business processes. One such …

The following article explores the interpretability and explainability of machine learning
software defect prediction models introduced in the context of commercial system-level …

The ability of artificial intelligence (AI) to take on complex tasks can facilitate humans' life, but
also raise concerns about AI replacing the human workforce. Acceptance and prior trust are …

This thesis argues that civil liability should rest on the deployer's understanding of system
behavior, and that documentation is the necessary tool to accomplish this goal. This work …