most citedA Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems

4 citations · 11 across the 8 of their papers we have counts for

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cs.HC2026

What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them

Megan Li, Wendy Bickersteth, Ningjing Tang +7

Despite growing concerns about the risks of Generative AI (GenAI), there is limited understanding of public perceptions of these risks and their associated failure modes -- defined…

cs.HC2026★ 1 cited

Situated, Dynamic, and Subjective: Envisioning the Design of Theory-of-Mind-Enabled Everyday AI with Industry Practitioners

Qiaosi Wang, Jini Kim, Avanita Sharma +4

Theory of Mind (ToM) -- the ability to infer what others are thinking (e.g., intentions) from observable cues -- is traditionally considered fundamental to human social interaction…

cs.HC2026

Beyond the Single Turn: Reframing Refusals as Dynamic Experiences Embedded in the Context of Mental Health Support Interactions with LLMs

Ningjing Tang, Alice Qian, Qiaosi Wang +6

Content Warning: This paper contains participant quotes and discussions related to mental health challenges, emotional distress, and suicidal ideation. Large language models (LLMs)…

cs.HC2025★ 1 cited

AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages

Muzhe Wu, Yanzhi Zhao, Shuyi Han +2

Responsible AI (RAI) efforts increasingly emphasize the importance of addressing potential harms early in the AI development lifecycle through social-technical lenses. However, in…

cs.HC2025★ 2 cited

Navigating Uncertainties: How GenAI Developers Document Their Models on Open-Source Platforms

Ningjing Tang, Megan Li, Amy Winecoff +3

Model documentation plays a crucial role in promoting transparency and responsible development of AI systems. With the rise of Generative AI (GenAI), open-source platforms have inc…