3 papers
cs.HC2026
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.CY2026
AI red-teaming is a sociotechnical problem: on values, labor, and harms
Tarleton Gillespie, Ryland Shaw, Mary L. Gray +1
As generative AI technologies find more and more real-world applications, the importance of testing their performance and safety seems paramount. "Red-teaming" has quickly become t…