Problems with Shapley-value-based explanations as feature importance measures. - I. Elizabeth Kumar; Suresh Venkatasubramanian; Carlos Scheidegger; Sorelle A. Friedler (ICML, 2020)

Epistemic values in feature importance methods: Lessons from feminist epistemology. - Leif Hancox-Li; I. Elizabeth Kumar (FAccT, 2021)

Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation. - I. Elizabeth Kumar; Keegan E. Hines; John P. Dickerson (AIES, 2022)

The Fallacy of AI Functionality. - Inioluwa Deborah Raji; I. Elizabeth Kumar; Aaron Horowitz; Andrew D. Selbst (FAccT, 2022)

To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models. - Cyrus Cousins; I. Elizabeth Kumar; Suresh Venkatasubramanian (AISTATS, 2024)