Today, AI is being increasingly used to help human experts make decisions in high-stakes
scenarios. In these scenarios, full automation is often undesirable, not only due to the …

In AI-assisted decision-making, it is critical for human decision-makers to know when to trust
AI and when to trust themselves. However, prior studies calibrated human trust only based …

Many decision-making processes have begun to incorporate an AI element, including prison
sentence recommendations, college admissions, hiring, and mortgage approval. In all of …

Automated decision-making systems become increasingly powerful due to higher model
complexity. While powerful in prediction accuracy, Deep Learning models are black boxes …

AI-assisted decision-making that impacts individuals raises critical questions about
transparency and fairness in artificial intelligence (AI). Much research has highlighted the …

Although the roots of artificial intelligence (AI) stretch back some years, it currently flourishes
in research and practice. However, AI deals with trust issues. One possible solution …

Trust is a central component of the interaction between people and AI, in that'incorrect'levels
of trust may cause misuse, abuse or disuse of the technology. But what, precisely, is the …

This paper contributes to the growing literature in empirical evaluation of explainable AI
(XAI) methods by presenting a comparison on the effects of a set of established XAI methods …

In decision support applications of AI, the AI algorithm's output is framed as a suggestion to a
human user. The user may ignore this advice or take it into consideration to modify their …

Prior work has identified a resilient phenomenon that threatens the performance of human-
AI decision-making teams: overreliance, when people agree with an AI, even when it is …