Fair treatment allocations in social networks. - James Atwood; Hansa Srinivasan; Yoni Halpern; David Sculley (CoRR, 2019)

Fairness is not static: deeper understanding of long term fairness via simulation studies. - Alexander D'Amour; Hansa Srinivasan; James Atwood; Pallavi Baljekar; D. Sculley; Yoni Halpern (FAT*, 2020)

Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. - Preethi Lahoti; Nicholas Blumm; Xiao Ma 010; Raghavendra Kotikalapudi; Sahitya Potluri; Qijun Tan; Hansa Srinivasan; Ben Packer; Ahmad Beirami; Alex Beutel; Jilin Chen (EMNLP, 2023)

Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. - Hansa Srinivasan; Candice Schumann; Aradhana Sinha; David Madras; Gbolahan Oluwafemi Olanubi; Alex Beutel; Susanna Ricco; Jilin Chen (FAccT, 2024)

Harm Amplification in Text-to-Image Models. - Susan Hao; Renee Shelby; Yuchi Liu; Hansa Srinivasan; Mukul Bhutani; Burcu Karagol Ayan; Shivani Poddar; Sarah Laszlo (CoRR, 2024)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)