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

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

Recently, artificial intelligence (AI) has been introduced into a variety of consumer
applications for creative work. Although AI-driven features in design tooling are nascent …

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

Among creative professionals, Generative Artificial Intelligence (GenAI) has sparked
excitement over its capabilities and fear over unanticipated consequences. How does GenAI …

UX practitioners (UXPs) face novel challenges when working with and communicating
artificial intelligence (AI) as a design material. We explore how UXPs communicate AI …

Artificial Intelligence (AI) plays an increasingly important role in improving HCI and user
experience. Yet many challenges persist in designing and innovating valuable human-AI …

Despite the proliferation of explainable AI (XAI) methods, little is understood about end-
users' explainability needs and behaviors around XAI explanations. To address this gap and …

One of the major criticisms of Artificial Intelligence is its lack of explainability. A claim is made
by many critics that without knowing how an AI may derive a result or come to a given …

Recently, the AI/ML research community has indicated an urgent need to establish
Responsible AI (RAI) values and practices as part of the AI/ML lifecycle. Several …