3 citations · 3 across the 1 of their papers we have counts for
4 papers
Stereotypically Yours: Portrayal and Perception of Race-Coded AI Companions
Wang Claire, Jiayue Melissa Shi, Agam Goyal +4
AI companions can purportedly adopt racial personas, raising questions about how they represent identity and how users interpret these portrayals. We combined an algorithmic audit…
First Impressions: How Placement Shapes the Influence of AI Summaries
Wang Claire, Agam Goyal, Frederick Choi +2
AI-generated summaries increasingly mediate how people interpret information across platforms, including product reviews on e-commerce sites. Using Amazon's AI summaries as a case…
The Wisdom of the Loudest: A Large-Scale Audit of Generative Search on Reddit
Agam Goyal, Wang Claire, Eshwar Chandrasekharan
Online communities are valued not only for answers, but for the diversity of experiences and perspectives they contain. Generative search increasingly mediates access to this disco…
WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI
Wesley Hanwen Deng, Wang Claire, Howard Ziyu Han +3
There has been growing interest from both practitioners and researchers in engaging end users in AI auditing, to draw upon users' unique knowledge and lived experiences. However, w…