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 …

While artificial intelligence (AI) is increasingly applied for decision-making processes, ethical
decisions pose challenges for AI applications. Given that humans cannot always agree on …

Trustworthy Artificial Intelligence (AI) is characterized, among other things, by: 1)
competence, 2) transparency, and 3) fairness. However, end-users may fail to recognize …

Human-algorithm interaction is a growing phenomenon of interest as the use of machine
learning (ML) capabilities in everyday technologies becomes more commonplace. In the …

Trust between humans and AI in the context of decision-making has acquired an important
role in public policy, research and industry. In this context, Human-AI Trust has often been …

Given the rapid technological advances in our society and the increase in artificial and
automated advisors with whom we interact on a daily basis, it is becoming increasingly …

Appropriate reliance is critical to achieving synergistic human-AI collaboration. For instance,
when users over-rely on AI assistance, their human-AI team performance is bounded by the …

Optimizing operations on critical infrastructure networks is key to reducing the impact of
disruptive events. In this paper, we explore the potential of having humans and algorithms …

When humans interact with intelligent systems, their causal responsibility for outcomes
becomes equivocal. We analyze the descriptive abilities of a newly developed responsibility …

With the rise of AI-embedded systems assisting decisions in the context of medicine, justice,
recruiting, Human-AI trust has become an utmost design priority. Numerous governments …