Vyoma Raman

Bio

Vyoma Raman (she/her) is a master’s student at Stanford University, where she researches power dynamics in natural language processing and the impacts of machine learning technologies on human rights and social justice. She completed bachelor’s degrees in computer science and interdisciplinary studies at UC Berkeley supported by the Google Lime Scholarship. During that time, Vyoma was a student researcher at the Human Rights Center’s Investigations Lab, Berkeley Artificial Intelligence Research Lab, and the School of Information. As a research affiliate at HRC, she now leads model evaluation for rights-based assessment of generative AI. Vyoma’s work has been featured by the Washington Post, Women at the Table, the Disability Visibility Project, The Squeaky Wheel, and The Daily Californian. In her spare time, she enjoys planning murder mystery dinner parties and searching for the perfect hot chocolate.

Publications

• Bias, Consistency, and Partisanship in U.S. Asylum Cases: A  Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions, Equity and Access in Algorithms, Mechanisms, and Optimization Conference (V. Raman, C. Vera, C. Manna).
• Scars on the Land: Honoring the Lives and Investigating the Deaths of Indigenous Land Defenders, #Verified from the Human Rights Center (V. Raman, A. Montoya, R. Foulds, C. Choi, Z. Long).
• Can machine learning measure the impact of bias on U.S. asylum decisions?, #Verified from the Human Rights Center (V. Raman, C. Vera).