About (Professional)

I study natural language processing with the goal of promoting rights and preventing injustice. Lately, I’ve been thinking about the ways in which language model alignment techniques unwittingly reify power structures—and how to unravel them. I’m very grateful to be a NSF Graduate Research Fellow and a Cornell Graduate School Dean’s Scholar.

I recently completed my master’s degree in computer science at Stanford University. During that time, I benefited immensely from the advising of Diyi Yang, Dan Ho, Dan Jurafsky, and Alfredo Artiles. Prior to that, I earned bachelor’s degrees in computer science and interdisciplinary studies at UC Berkeley, where I was supported by a Google Lime Scholarship and was indebted to Dan Klein, Shreeharsh Kelkar, Rediet Abebe, and Alexa Koenig for their valuable advising.

I am affiliated with UC Berkeley’s Human Rights Center, where I research the human rights impacts of language models under the guidance of Betsy Popken. I have previously interned at Microsoft working on responsible AI and 81cents (acquired by Rora) working toward closing the wage gap.

About (Fun)

I moonlight as a satire writer and columnist and am deeply passionate about disability justice. In my spare time, I read, watch, and orchestrate (aka host dinner parties for) murder mysteries. I also enjoy reading absurdist satire and urban fantasy, and I’m on a quest to find the best hot chocolate in New York City (my picks for Berkeley and Palo Alto).

Disability Culture

I value how strong disability self-identity empowers people to engage in collective advocacy, which helps keep disability rights at the center of a healthy democracy. Previously, I was a graduate student coordinator for Stanford’s Disability Community (DisCo) Space, where my efforts to engage Stanford students with disability culture both locally and globally were honored with a Stanford Community Impact Award and the James W. Lyons Award for Service.

I have also attempted to be an active creator of disability culture. My opinion column “Along for the Ride” in the Daily Californian was honored by the California College Media Association and the California News Publishers Association. I’ve also written reviews and satire highlighting disability issues in everyday situations.

Publications

• Assessing Human Rights Risks in AI: A Framework for Model Evaluation. Vyoma Raman, Camille Chabot, Betsy Popken. Artificial Intelligence, Ethics, and Society (Forthcoming), 2025.
• Disclosure and Evaluation as Fairness Interventions for General-Purpose AI. Vyoma Raman, Judy Hanwen Shen, Andy K. Zhang, Lindsey Gailmard, Rishi Bommasani, Daniel E. Ho, Angelina Wang. Artificial Intelligence, Ethics, and Society (Forthcoming), 2025.
• AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County. Faiz Surani, Mirac Suzgun, Vyoma Raman, Christopher D. Manning, Peter Henderson, Daniel E. Ho. Journal of Legal Analysis (Forthcoming), 2024. Website.
• Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. Vyoma Raman, Eve Fleisig, Dan Klein. Empirical Methods in Natural Language Processing, 2023.
• Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions. Vyoma Raman, Catherine Vera, CJ Manna. Equity and Access in Algorithms, Mechanisms, and Optimization, 2022. Best Paper.