Artificial intelligence (AI) characterizes a new generation of technologies capable of
interacting with the environment and aiming to simulate human intelligence. The success of …

With the rise of automated and autonomous agents, research examining Trust in Automation
(TiA) has attracted considerable attention over the last few decades. Trust is a rich and …

Recent advances in Large Language Models (LLM) have made automatic code generation
possible for real-world programming tasks in general-purpose programming languages …

We propose that digital technologies and related data become increasingly prevalent and
that, consequently, ethical concerns arise. Looking at four principal stakeholders, we …

The spread of AI-embedded systems involved in human decision making makes studying
human trust in these systems critical. However, empirically investigating trust is challenging …

The introduction of artificial teammates in the form of autonomous social robots, with fewer
social abilities compared to humans, presents new challenges for human–robot team …

Research in Fairness, Accountability, Transparency, and Ethics (FATE) 1 has established
many sources and forms of algorithmic harm, in domains as diverse as health care, finance …

Machine learning is enabling a myriad innovations, including new algorithms for cancer
diagnosis and self-driving cars. The broad use of machine learning makes it important to …

This open access book introduces the reader to the foundations of AI and ethics. It discusses
issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between …

Abstract Purpose of Review To assess the state-of-the-art in research on trust in robots and
to examine if recent methodological advances can aid in the development of trustworthy …