most citedWorker Discretion Advised: Co-designing Risk Disclosure in Crowdsourced Responsible AI (RAI) Content Work

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

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.HC2026

Towards Apples to Apples for AI Evaluations: From Real-World Use Cases to Evaluation Scenarios

Yee-Yin Choong, Kristen Greene, Alice Qian +6

AI measurement science has a wide variety of methodologies and measurements for comparing AI systems, resulting in what often appear to be "apples-to-oranges" comparisons across AI…

cs.HC20261 cited

Worker Discretion Advised: Co-designing Risk Disclosure in Crowdsourced Responsible AI (RAI) Content Work

Alice Qian, Ziqi Yang, Ryland Shaw +3

Responsible AI (RAI) content work, such as annotation, moderation, or red teaming for AI safety, often exposes crowd workers to potentially harmful content. While prior work has un…

cs.HC2026

Locating Risk: Task Designers and the Challenge of Risk Disclosure in RAI Content Work

Alice Qian, Ryland Shaw, Laura Dabbish +2

As AI systems are increasingly tested and deployed in open-ended and high-stakes domains, crowdworkers are often tasked with responsible AI (RAI) content work. These tasks include…

cs.HC2025

Exploring Opportunities to Support Novice Visual Artists' Inspiration and Ideation with Generative AI

Cindy Peng, Alice Qian, Linghao Jin +6

Recent generative AI advances present new possibilities for supporting visual art creation, but how such promise might assist novice artists during early-stage processes requires i…