Kathleen (Katie) Creel

Citation: Shomik Jain, Vinith Suriyakumar, Kathleen Creel, Ashia Wilson. (2024). Algorithmic Pluralism: A Structural Approach To Equal Opportunity FAccT, 197-206. https://doi.org/10.1145/3630106.3658899

Citation: Shomik Jain, Kathleen Creel, Ashia Wilson. (2024). Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized CoRR, abs/2404.08592. https://doi.org/10.48550/arXiv.2404.08592

Citation: Connor Toups, Rishi Bommasani, Kathleen A. Creel, Sarah H. Bana, Dan Jurafsky, Percy Liang. (2023). Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes CoRR, abs/2307.05862. https://doi.org/10.48550/arXiv.2307.05862

Citation: Rishi Bommasani, Dilara Soylu, Thomas I. Liao, Kathleen A. Creel, Percy Liang. (2023). Ecosystem Graphs: The Social Footprint of Foundation Models CoRR, abs/2303.15772. https://doi.org/10.48550/arXiv.2303.15772

Citation: Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang. (2022). Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? CoRR, abs/2211.13972. https://doi.org/10.48550/arXiv.2211.13972

Citation: Nick Parlante, Julie Zelenski, Eric S. Roberts, Jed Rembold, Ben Stephenson, Jonathan Hudson, Stephanie Valentine, Juliette Woodrow, Kathleen Creel, Nick Bowman, Larry "Joshua" Crotts, Andrew Matzureff, Mike Izbicki. (2022). Nifty Assignments SIGCSE (2), 1067-1068. https://doi.org/10.1145/3478432.3499268

Citation: Rishi Bommasani, Drew A. Hudson, Ehsan Adeli , Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei , Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson , John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.. (2021). On the Opportunities and Risks of Foundation Models CoRR, abs/2108.07258. https://arxiv.org/abs/2108.07258

Citation: Kathleen Creel, Deborah Hellman. (2021). The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision Making Systems FAccT, 816. https://doi.org/10.1145/3442188.3445942