12 citations · 20 across the 9 of their papers we have counts for
4 papers · 1 filter
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.…