I'm a PhD candidate in Computer Science and Engineering at the University of Michigan - Ann Arbor. I examine the social, ethical, and design implications of AI in high stakes decision-making domains. Specifically, my research identifies the sociotechnical components necessary to enable accountability and ensure responsible AI innovation.
My research interests sit at the intersections of human-computer interaction, public interest technology, and responsible AI. I am drawn to research questions that center the perspectives of marginalized communities in the discourse on Responsible AI.
I have published in both HCI and AI venues such as ACM CHI, FAccT, DIS, TOCHI and AAMAS. My work has received a Best Paper nomination and Pragnesh Jay Modi Best Student Paper award. I have also contributed to public conversations via popular media outlets such as CNBC TV18 and Techcrunch which influenced policy outcomes for Google in 2023. I am a 2023-24 Quad Fellow (an initiative of the governments of Australia, India, Japan and the US).
Before starting my PhD, I led the research and development efforts at CloudSight Inc. At Cloudsight, I architected the company's first human-AI interaction pipeline for analyzing visual content in real-time, powering many visual recognition apps including the award-winning accessibility app, TapTapSee.
Please feel free to reach out to me by email if you would like to hear more about my work! My pronouns are she/her.
Pragnesh Jay Modi Best Student Paper Award