Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. - Jessica Schrouff; Awa Dieng; Miriam Rateike; Kweku Kwegyir-Aggrey; Golnoosh Farnadi (AFCR, 2021)

Everything is Relative: Understanding Fairness with Optimal Transport. - Kweku Kwegyir-Aggrey; Rebecca Santorella; Sarah M. Brown (CoRR, 2021)

Model Selection's Disparate Impact in Real-World Deep Learning Applications. - Jessica Zosa Forde; A. Feder Cooper; Kweku Kwegyir-Aggrey; Chris De Sa; Michael Littman 002 (CoRR, 2021)

Achieving Downstream Fairness with Geometric Repair. - Kweku Kwegyir-Aggrey; Jessica Dai; John P. Dickerson; Keegan Hines (CoRR, 2022)

The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. - Kweku Kwegyir-Aggrey; Marissa Gerchick; Malika Mohan; Aaron Horowitz; Suresh Venkatasubramanian (FAccT, 2023)

Observing Context Improves Disparity Estimation when Race is Unobserved. - Kweku Kwegyir-Aggrey; Naveen Durvasula; Jennifer Wang; Suresh Venkatasubramanian (AIES (1), 2024)