Kumar, I. Elizabeth

The Fallacy of AI Functionality

Raji, I. D., Kumar, I. E., Horowitz, A., & Selbst, A. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 251

Problems with Shapley-value-based explanations as feature importance measures

Kumar, I. E., Venkatasubramanian, S., Scheidegger, C., & Friedler, S. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data

Cited by 228

Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation

Kumar, I. E., Hines, K. E., & Dickerson, J. P. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIFinancial Distress and Bankruptcy Prediction

Cited by 24