What makes a good explanation? Cognitive dimensions of explaining intelligent machines. - Roberto Confalonieri 001; Tarek R. Besold; Tillman Weyde; Kathleen Creel; Tania Lombrozo; Shane T. Mueller; Patrick Shafto (CogSci, 2019)

The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision Making Systems. - Kathleen Creel; Deborah Hellman (FAccT, 2021)

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)

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? - Rishi Bommasani; Kathleen A. Creel; Ananya Kumar; Dan Jurafsky; Percy Liang (NeurIPS, 2022)

Nifty Assignments. - 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; et al. (SIGCSE (2), 2022)

Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes. - Connor Toups; Rishi Bommasani; Kathleen Creel; Sarah H. Bana; Dan Jurafsky; Percy Liang (NeurIPS, 2023)

Ecosystem Graphs: The Social Footprint of Foundation Models. - Rishi Bommasani; Dilara Soylu; Thomas I. Liao; Kathleen A. Creel; Percy Liang (CoRR, 2023)

Ecosystem Graphs: Documenting the Foundation Model Supply Chain. - Rishi Bommasani; Dilara Soylu; Thomas I. Liao; Kathleen A. Creel; Percy Liang (AIES (1), 2024)

Algorithmic Pluralism: A Structural Approach To Equal Opportunity. - Shomik Jain; Vinith M. Suriyakumar; Kathleen Creel; Ashia Wilson (FAccT, 2024)

Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized. - Shomik Jain; Kathleen Creel; Ashia Camage Wilson (ICML, 2024)

Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized. - Shomik Jain; Kathleen Creel; Ashia Wilson (CoRR, 2024)

Allocation Multiplicity: Evaluating the Promises of the Rashomon Set. - Shomik Jain; Margaret Wang; Kathleen Creel; Ashia Wilson (FAccT, 2025)

Homogeneous Algorithms Can Reduce Competition in Personalized Pricing. - Nathanael Jo; Kathleen Creel; Ashia Wilson; Manish Raghavan (CoRR, 2025)