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I’m a research scientist with Technology, AI, Society, and Culture (TASC) within the Research Center for Responsible AI and Human-Centered Technology (RAI-HCT) at Google. My work is focused on anticipating, measuring, and mitigating harms of AI systems. Over the past decade, my work has focused on evaluations of social and cultural biases in technological systems, with an emphasis on biases in the data collection processes underpinning machine learning datasets and models, including conversational AI (i.e., chatbots). I also explore approaches to involving members of underrepresented groups in the development and evaluation of AI systems. Most recently, I have been identifying hazards and harms associated with anthropomorphic features of generative AI systems and developing approaches to evaluate their impacts to end users and the broader public.
I’m a mixed methods researcher, drawing from my background in Human-Computer Interaction. In my work I have made use of a range of techniques including participant interviews, surveys, thematic analysis, experimental design, and language modeling. I completed my Ph.D. in Technology & Social Behavior, a joint program in Computer Science and Communication at Northwestern University. I was advised by Darren Gergle and my other committee members included Nicholas Diakopoulos, Sheena Erete, and Anne Marie Piper. Before beginning my doctoral work, I worked in Accenture Labs developing virtual reality mobile applications and worked as a research assistant and virtual reality programmer studying social identity in the Virtual Human Interaction Lab with Jeremy Bailenson at Stanford University (VHIL). |
