Highlighted publications
The Surveillance AI Pipeline
Pratyusha Ria Kalluri*, William Agnew*, Myra Cheng*, Kentrell Owens*, Luca Soldaini*, Abeba Birhane*
In review, 2023
The Values Encoded in Machine Learning Research
Pratyusha Ria Kalluri*, Abeba Birhane*, Dallas Card*, William Agnew*, Ravit Dotan*, Michelle Bao*
Best paper. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
Pratyusha Ria Kalluri*, Federico Bianchi*, Esin Durmus*, Faisal Ladhak*, Myra Cheng*,
Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2023
Don’t ask if artificial intelligence is good or fair, ask how it shifts power
Pratyusha Ria Kalluri
Nature, 2020
If we’re not careful, tech could hurt the fight against COVID-19
Pratyusha Ria Kalluri, Lauren Gillespie, Agata Foryciarz, Wren Elhai, Sanjana Srivastava, Argyri Panezi, Lisa Einstein
Scientific American, 2020
When and why vision-language models behave like bags-of-words, and what to do about it
Mert Yuksekgonul*, Federico Bianchi*, Pratyusha Kalluri, Dan Jurafsky, James Zou
International Conference on Learning Representations (ICLR), 2023
On the Opportunities and Risks of Foundation Models: Interpretability
John Hewitt*, Armin W. Thomas*, Pratyusha Ria Kalluri, Rodrigo Castellon, Christopher D. Manning
Section in collective paper by Rishi Bommasani et al.
Arxiv, 2022
Learning Controllable Fair Representations
Pratyusha Ria Kalluri*, Jiaming Song*, Aditya Grover, Shengjia Zhao, Stefano Ermon
Conference on Artificial Intelligence and Statistics, 2019
Highlighted talks
Thoughts on how machine learning shifts power
Pratyusha Ria Kalluri
Conference on Neural Information Processing Systems (NeurIPS), 2019
Does ChatGPT have politics?
Pratyusha Ria Kalluri
Stanford, Ethical and Social Issues in Natural Language Processing course, 2023
Machine learning and power
Pratyusha Ria Kalluri
Stanford, Human-centered Natural Language Processing course, 2023
Artificial intelligence: A story about values, politics, and power
Pratyusha Ria Kalluri
Stanford, Design for AI course, 2023
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
Pratyusha Ria Kalluri, Myra Cheng
ACM Conference on Fairness Accountability and Transparency (FAccT), 2023
Biased Perspective, Unequal Effects: AI & Healthcare
Pratyusha Ria Kalluri
National Science Ethics and Policy Symposium, 2022
Biased Intelligence
Pratyusha Ria Kalluri
NPR WHYY, AI Nation podcast, 2021
Beyond Fairness in Machine Learning panel
Pratyusha Ria Kalluri, Timnit Gebru, Alex Hanna, William Agnew
Conference on Neural Information Processing Systems (NeurIPS), 2021
From fairness to justice: centering marginalized communities panel
Pratyusha Ria Kalluri, Tawana Petty, Seeta Peña Gangadharan
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2021
Abolition and the Tech Industry
Pratyusha Ria Kalluri, Wendy Liu, Cesia Dominguez
City College of San Francisco (CCSF), Build Abolition 101 course, 2021
Demystifying AI: How AI Works and How AI Does Not Work
Pratyusha Ria Kalluri
Princeton, Black Mirror: Race, Technology, and Justice course, 2020
Future of Artificial Intelligence: Bias, Policy, and More
Pratyusha Ria Kalluri, Kristian Lum, Ramon Vilarino, Alex London
UCSF, Hard Questions, 2020
Designing Machine Learning Models That Shift Power
Pratyusha Ria Kalluri, J. Khadijah Abdurahman, Stanley Muñoz, Ilan Mandel
Columbia University, The American Assembly, We Be Imagining Podcast, 2020
Our Relationship with AI: Exploring the Present and Dreaming up Radical Futures
Pratyusha Ria Kalluri, N. Bilenko, M. Carney, E. Creager, R. Lopes
ACM Conference on Fairness Accountability and Transparency (FAccT), 2020
Fairness, Accountability, Transparency, and Ethics and How it Affects the Queer Community
Pratyusha Ria Kalluri, Y. Bengio, M. Mitchell, L. Stark
International Conference on Machine Learning (ICML), 2019
The Paradox of Privacy
Pratyusha Ria Kalluri, Alvaro Bedoya
Paul and Daisy Soros Fellowship Conference, 2018