
Vinodkumar Prabhakaran
Vinodkumar Prabhakaran is a Research Scientist at Google, working on issues around Ethical AI and ML Fairness. Prior to this, he was a postdoctoral researcher in the Computer Science department at Stanford University, where he worked with Prof. Dan Jurafsky and others at the Stanford NLP group, in an array of projects with a focus on applying Artificial Intelligence for Social Good. He obtained his PhD in computer science from Columbia University in 2015. His research brings together natural language processing techniques, machine learning algorithms, and social science methods to build scalable ways to identify and address large-scale societal issues such as racial disparities in policing, workplace incivility, gender bias and stereotypes, and abusive behavior online.
Authored Publications
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Google
Beyond Aesthetics: Cultural Competence in Text-to-Image Models
Nithish Kannen
Marco Andreetto
2024
Beyond Aesthetics: Cultural Competence in Text-to-Image Models
Nithish Kannen
Marco Andreetto
2024
Beyond Aesthetics: Cultural Competence in Text-to-Image Models
Nithish Kannen
Marco Andreetto
2024
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
Akshita Jha
Sarah Laszlo
Rida Qadri
Chandan Reddy
ACL (2024)
DICES Dataset: Diversity in Conversational AI Evaluation for Safety
Alex Taylor
Chris Homan
Greg Serapio-García
NeurIPS2023 (2023)
MD3: The Multi-Dialect Dataset of Dialogues
Clara Rivera
Dora Demszky
Devyani Sharma
InterSpeech (2023) (to appear)