Perceptions of Fairness. - Nripsuta Ani Saxena (AIES, 2019)

How Do Fairness Definitions Fare?: Examining Public Attitudes Towards Algorithmic Definitions of Fairness. - Nripsuta Ani Saxena; Karen Huang; Evan DeFilippis; Goran Radanovic; David C. Parkes; Yang Liu 018 (AIES, 2019)

How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations. - Nripsuta Ani Saxena; Karen Huang; Evan DeFilippis; Goran Radanovic; David C. Parkes; Yang Liu 018 (Artif. Intell., 2020)

Computational Group Selection. - Nripsuta Saxena (CoRR, 2021)

A Survey on Bias and Fairness in Machine Learning. - Ninareh Mehrabi; Fred Morstatter; Nripsuta Saxena; Kristina Lerman; Aram Galstyan (ACM Comput. Surv., 2022)

Preventing Discriminatory Decision-making in Evolving Data Streams. - Zichong Wang; Nripsuta Saxena; Tongjia Yu; Sneha Karki; Tyler Zetty; Israat Haque 001; Shan Zhou; Dukka Kc; Ian Stockwell; Xuyu Wang; Albert Bifet; Wenbin Zhang 002 (FAccT, 2023)

Missed Opportunities in Fair AI. - Nripsuta Ani Saxena; Wenbin Zhang 002; Cyrus Shahabi (SDM, 2023)

Preventing Discriminatory Decision-making in Evolving Data Streams. - Zichong Wang; Nripsuta Saxena; Tongjia Yu; Sneha Karki; Tyler Zetty; Israat Haque 001; Shan Zhou; Dukka Kc; Ian Stockwell; Albert Bifet; Wenbin Zhang 002 (CoRR, 2023)

Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research. - Nripsuta Ani Saxena; Wenbin Zhang 002; Cyrus Shahabi (CoRR, 2024)

Legally-Compliant Spatial Fairness Framework: Advancing Beyond Spatial Fairness. - Nripsuta Ani Saxena; Ronit Mathur; Cyrus Shahabi (EDBT, 2025)

Unveiling and mitigating bias in ride-hailing pricing for equitable policy making. - Nripsuta Ani Saxena; Wenbin Zhang 002; Cyrus Shahabi (AI Ethics, 2025)

POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution. - Nripsuta Ani Saxena; Shang-Ling Hsu; Mehul Shetty; Omar Alkhadra; Cyrus Shahabi; Abigail L. Horn (CoRR, 2025)