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What is human-centered about human-centered AI? A map of the research landscape
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …
high expectations of its benefits and dire predictions of misuse. While AI systems have …
Understanding design collaboration between designers and artificial intelligence: A systematic literature review
Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …
Designers, as a special user group interacting with AI, have received more attention in the …
Six human-centered artificial intelligence grand challenges
Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the
human condition in ways that are not yet well understood. Negative unintended …
human condition in ways that are not yet well understood. Negative unintended …
Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities
Large language models (LMs) offer unprecedented language generation capabilities and
exciting opportunities for interaction design. However, their highly context-dependent …
exciting opportunities for interaction design. However, their highly context-dependent …
Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI
While AI has benefited humans, it may also harm humans if not appropriately developed.
The priority of current HCI work should focus on transiting from conventional human …
The priority of current HCI work should focus on transiting from conventional human …
Interpreting interpretability: understanding data scientists' use of interpretability tools for machine learning
Machine learning (ML) models are now routinely deployed in domains ranging from criminal
justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and …
justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and …
Co-designing checklists to understand organizational challenges and opportunities around fairness in AI
Many organizations have published principles intended to guide the ethical development
and deployment of AI systems; however, their abstract nature makes them difficult to …
and deployment of AI systems; however, their abstract nature makes them difficult to …
Investigating how practitioners use human-ai guidelines: A case study on the people+ ai guidebook
Artificial intelligence (AI) presents new challenges for the user experience (UX) of products
and services. Recently, practitioner-facing resources and design guidelines have become …
and services. Recently, practitioner-facing resources and design guidelines have become …
Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
Designerly understanding: Information needs for model transparency to support design ideation for AI-powered user experience
Despite the widespread use of artificial intelligence (AI), designing user experiences (UX) for
AI-powered systems remains challenging. UX designers face hurdles understanding AI …
AI-powered systems remains challenging. UX designers face hurdles understanding AI …