Chatbots are increasingly becoming important gateways to digital services and information—
taken up within domains such as customer service, health, education, and work support …

Prototyping is notoriously difficult to do with machine learning (ML), but recent advances in
large language models may lower the barriers to people prototyping with ML, through the …

Artificial intelligence (AI) presents new challenges for the user experience (UX) of products
and services. Recently, practitioner-facing resources and design guidelines have become …

Human-AI co-creativity involves both humans and AI collaborating on a shared creative
product as partners. In a creative collaboration, interaction dynamics, such as turn-taking …

Despite the widespread use of artificial intelligence (AI), designing user experiences (UX) for
AI-powered systems remains challenging. UX designers face hurdles understanding AI …

Users of augmentative and alternative communication (AAC) devices sometimes find it
difficult to communicate in real time with others due to the time it takes to compose …

Technology companies continue to invest in efforts to incorporate responsibility in their
Artificial Intelligence (AI) advancements, while efforts to audit and regulate AI systems …

Explainable AI (XAI) systems are sociotechnical in nature; thus, they are subject to the
sociotechnical gap-divide between the technical affordances and the social needs …

Alongside recent advances in artificial intelligence (AI), a new art practice has emerged in
recent years that borrows and transforms these advances in the production of artworks. The …

To ensure accountability and mitigate harm, it is critical that diverse stakeholders can
interrogate black-box automated systems and find information that is understandable …