| A survey on bias and fairness in machine learning N Mehrabi, F Morstatter, N Saxena, K Lerman, A Galstyan ACM computing surveys (CSUR) 54 (6), 1-35, 2021 | 8638 | 2021 |
| How do fairness definitions fare? Examining public attitudes towards algorithmic definitions of fairness NA Saxena, K Huang, E DeFilippis, G Radanovic, DC Parkes, Y Liu Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 99-106, 2019 | 298 | 2019 |
| How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations NA Saxena, K Huang, E DeFilippis, G Radanovic, DC Parkes, Y Liu Artificial Intelligence 283, 103238, 2020 | 83 | 2020 |
| Morally homogeneous networks and radicalism M Atari, AM Davani, D Kogon, B Kennedy, N Ani Saxena, I Anderson, ... Social Psychological and Personality Science 13 (6), 999-1009, 2022 | 64 | 2022 |
| Preventing discriminatory decision-making in evolving data streams Z Wang, N Saxena, T Yu, S Karki, T Zetty, I Haque, S Zhou, D Kc, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 57 | 2023 |
| Perceptions of fairness NA Saxena Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 537-538, 2019 | 36 | 2019 |
| Missed opportunities in fair AI NA Saxena, W Zhang, C Shahabi Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 31 | 2023 |
| A survey on bias and fairness in machine learning. CoRR abs/1908.09635 (2019) N Mehrabi, F Morstatter, N Saxena, K Lerman, A Galstyan URL: http://arxiv. org/abs/1908.09635, 1908 | 20 | 1908 |
| Unveiling and mitigating bias in ride-hailing pricing for equitable policy making NA Saxena, W Zhang, C Shahabi AI and Ethics 5 (2), 1549-1560, 2025 | 18 | 2025 |
| A survey on bias and fairness in machine learning. arXiv e-prints N Mehrabi, F Morstatter, N Saxena, K Lerman, A Galstyan arXiv preprint arXiv:1908.09635 8, 2019 | 16 | 2019 |
| A comprehensive survey of image and video generative AI: recent advances, variants, and applications S Yazdani, N Saxena, Z Wang, Y Wu, W Zhang | 13 | 2024 |
| Study of psychiatric morbidity among residents of government old age homes in Delhi R Kumar, S Satapathy, VS Adhish, S Nripsuta Journal of Geriatric Mental Health 4 (1), 36-41, 2017 | 11 | 2017 |
| Generative AI in depth: A survey of recent advances, model variants, and real-world applications S Yazdani, A Singh, N Saxena, Z Wang, A Palikhe, D Pan, U Pal, J Yang, ... Journal of Big Data 12 (1), 1-43, 2025 | 6 | 2025 |
| Spatial fairness: The case for its importance, limitations of existing work, and guidelines for future research NA Saxena, W Zhang, C Shahabi arXiv preprint arXiv:2403.14040, 2024 | 4 | 2024 |
| POIFormer: a transformer-based framework for accurate and scalable point-of-interest attribution NA Saxena, SL Hsu, M Shetty, O Alkhadra, C Shahabi, AL Horn Proceedings of the 33rd ACM International Conference on Advances in …, 2025 | 2 | 2025 |
| Nripsuta Ani Saxena, Ian Anderson, and Morteza Dehghani. 2021. Morally homogeneous networks and radicalism M Atari, AM Davani, D Kogon, B Kennedy Social Psychological and Personality Science, 19485506211059329, 0 | 2 | |
| Legally-Compliant Spatial Fairness Framework: Advancing Beyond Spatial Fairness NA Saxena, R Mathur, C Shahabi | | 2025 |
| Computational Group Selection N Saxena arXiv preprint arXiv:2104.12279, 2021 | | 2021 |
| Deep Learning for Urban Planning and Location-Based Services NA Saxena, SL Hsu, C Shahabi, AL Horn Women in Machine Learning Workshop@ NeurIPS 2025, 0 | | |
Aram GalstyanUSC ISI & Amazon AGIVerified email at isi.edu
