Objective This paper reviews recent articles related to human trust in automation to guide
research and design for increasingly capable automation in complex work environments …

This report synthesizes~ 60 research papers about overreliance on AI. The papers originate
from a variety of disciplines, including Human-Computer Interaction (HCI); Human Factors; …

Artificial intelligence (AI) researchers have been develo** and refining large language
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …

The prevailing methods to make large language models more powerful and amenable have
been based on continuous scaling up (that is, increasing their size, data volume and …

ABSTRACT Full automation using Artificial Intelligence (AI) predictions may not be optimal if
humans can access contextual information. We study human-AI collaboration using an …

Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …

Artificial Intelligence (ai) systems are precious support for decision-making, with many
applications also in the medical domain. The interaction between mds and ai enjoys a …

Many researchers motivate explainable AI with studies showing that human-AI team
performance on decision-making tasks improves when the AI explains its recommendations …

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 …

Misinformation threatens modern society by promoting distrust in science, changing
narratives in public health, heightening social polarization, and disrupting democratic …