12 citations · 13 across the 3 of their papers we have counts for
4 papers
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…
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…
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…