Most programs today are written not by professional software developers, but by people with
expertise in other domains working towards goals for which they need computational …

To make explainable artificial intelligence (XAI) systems trustworthy, understanding harmful
effects is important. In this paper, we address an important yet unarticulated type of negative …

As AI-powered systems increasingly mediate consequential decision-making, their
explainability is critical for end-users to take informed and accountable actions. Explanations …

What does it mean for a generative AI model to be explainable? The emergent discipline of
explainable AI (XAI) has made great strides in hel** people understand discriminative …

Generative models have become adept at producing artifacts such as images, videos, and
prose at human-like levels of proficiency. New generative techniques, such as unsupervised …

Geographically-grounded situational awareness (SA) is critical to crisis management and is
essential in many other decision making domains that range from infectious disease …

Integral to the adoption and uptake of AI systems in real-world settings is the ability for
people to make sense of and evaluate such systems, a growing area of development and …

Research on the Internet of Things (IoT) has devoted many efforts to technological aspects.
Little social and practical benefits have emerged so far. IoT devices, so-called smart objects …

Human-centered design is a burgeoning field of study that has the potential to work toward
actively creating more just and equitable technology design while critically interrogating the …

Robotic applications have entered various aspects of our lives, such as health care and
educational services. In such Human-robot Interaction (HRI), trust and mutual adaption are …