Artificial intelligence (AI) refers to technologies which support the execution of tasks normally
requiring human intelligence (eg, visual perception, speech recognition, or decision …

The proposed EU regulation for Artificial Intelligence (AI), the AI Act, has sparked some
debate about the role of explainable AI (XAI) in high-risk AI systems. Some argue that black …

The field of eXplainable Artificial Intelligence (XAI) focuses on providing explanations for AI
systems' decisions. XAI applications to AI-based Clinical Decision Support Systems (DSS) …

Artificial Intelligence (AI) plays an increasingly integral role in decision-making processes. In
order to foster trust in AI predictions, many approaches towards explainable AI (XAI) have …

eXplainable AI (XAI) involves two intertwined but separate challenges: the development of
techniques to extract explanations from black-box AI models and the way such explanations …

Algorithms have permeated throughout civil government and society, where they are being
used to make high-stakes decisions about human lives. In this paper, we first develop a …

Research in AI-enabled decision support often focuses on technological factors influencing
reliance on AI. However, the end-users of AI systems are individuals with diverse …

As the performance and complexity of machine learning models have grown significantly
over the last years, there has been an increasing need to develop methodologies to …

AI is anticipated to enhance human decision-making in high-stakes domains like aviation,
but adoption is often hindered by challenges such as inappropriate reliance and poor …

A growing literature studies how humans incorporate advice from algorithms. This study
examines an algorithm with millions of daily users: ChatGPT. In a preregistered study, 118 …