Affinity-based Interpretation of Triangle Social Scenarios. - Pratyusha Kalluri; Pablo Gervás (ICAART (2), 2017)

Learning Controllable Fair Representations. - Jiaming Song; Pratyusha Kalluri; Aditya Grover; Shengjia Zhao; Stefano Ermon (AISTATS, 2019)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

The Values Encoded in Machine Learning Research. - Abeba Birhane; Pratyusha Kalluri; Dallas Card; William Agnew; Ravit Dotan; Michelle Bao (FAccT, 2022)

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. - Federico Bianchi 001; Pratyusha Kalluri; Esin Durmus; Faisal Ladhak; Myra Cheng; Debora Nozza; Tatsunori Hashimoto; Dan Jurafsky; James Zou 001; Aylin Caliskan (FAccT, 2023)

When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It? - Mert Yüksekgönül; Federico Bianchi 001; Pratyusha Kalluri; Dan Jurafsky; James Zou 001 (ICLR, 2023)

The Surveillance AI Pipeline. - Pratyusha Ria Kalluri; William Agnew; Myra Cheng; Kentrell Owens; Luca Soldaini; Abeba Birhane (CoRR, 2023)

Dialect prejudice predicts AI decisions about people's character, employability, and criminality. - Valentin Hofmann; Pratyusha Ria Kalluri; Dan Jurafsky; Sharese King (CoRR, 2024)

AI generates covertly racist decisions about people based on their dialect. - Valentin Hofmann; Pratyusha Ria Kalluri; Dan Jurafsky; Sharese King (Nat., 2024)

Computer-vision research powers surveillance technology. - Pratyusha Ria Kalluri; William Agnew; Myra Cheng; Kentrell Owens; Luca Soldaini; Abeba Birhane (Nat., 2025)