Explainable AI (XAI) is widely viewed as a sine qua non for ever-expanding AI research. A
better understanding of the needs of XAI users, as well as human-centered evaluations of …

DARPA formulated the Explainable Artificial Intelligence (XAI) program in 2015 with the goal
to enable end users to better understand, trust, and effectively manage artificially intelligent …

For robots to seamlessly interact with humans, we first need to make sure that humans and
robots understand one another. Diverse algorithms have been developed to enable robots …

AI-enabled agents designed to assist humans are gaining traction in a variety of domains
such as healthcare and disaster response. It is evident that, as we move forward, these …

In recent years, reinforcement learning (RL) systems have shown impressive performance
and remarkable achievements. Many achievements can be attributed to combining RL with …

For robots to seamlessly interact with humans, we first need to make sure that humans and
robots understand one another. Diverse algorithms have been developed to enable robots …

The growing presence of modern learning robots necessitates a fundamental shift in design,
as these robots must learn skills from human inputs. Two main components close the loop in …

Robots operating in highly-dynamic environments are burdened with the task of
continuously monitoring and flexibly adapting to their changing surroundings and internal …