12 citations · 20 across the 9 of their papers we have counts for
9 papers
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)…
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…
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…
Effective Automation to Support the Human Infrastructure in AI Red Teaming
Alice Qian Zhang, Jina Suh, Mary L. Gray +1
As artificial intelligence (AI) systems become increasingly embedded in critical societal functions, the need for robust red teaming methodologies continues to grow. In this forum…
Uncovering inequalities in new knowledge learning by large language models across different languages
Chenglong Wang, Haoyu Tang, Xiyuan Yang +8
As large language models (LLMs) gradually become integral tools for problem solving in daily life worldwide, understanding linguistic inequality is becoming increasingly important.…
AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work
Alice Qian Zhang, Judith Amores, Mary L. Gray +2
Behind the scenes of maintaining the safety of technology products from harmful and illegal digital content lies unrecognized human labor. The recent rise in the use of generative…
Dear Diary: A randomized controlled trial of Generative AI coding tools in the workplace
Jenna Butler, Jina Suh, Sankeerti Haniyur +1
Generative AI coding tools are relatively new, and their impact on developers extends beyond traditional coding metrics, influencing beliefs about work and developers' roles in the…
The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing
Alice Qian Zhang, Ryland Shaw, Jacy Reese Anthis +9
Rapid progress in general-purpose AI has sparked significant interest in "red teaming," a practice of adversarial testing originating in military and cybersecurity applications. AI…
Responsible AI Research Needs Impact Statements Too
Alexandra Olteanu, Michael Ekstrand, Carlos Castillo +1
All types of research, development, and policy work can have unintended, adverse consequences - work in responsible artificial intelligence (RAI), ethical AI, or ethics in AI is no…