| Discrimination through optimization: How Facebook's Ad delivery can lead to biased outcomes M Ali, P Sapiezynski, M Bogen, A Korolova, A Mislove, A Rieke Proceedings of the ACM on human-computer interaction 3 (CSCW), 1-30, 2019 | 472 | 2019 |
| Help wanted: An examination of hiring algorithms, equity, and bias M Bogen, A Rieke Upturn, December 7, 2018 | 263* | 2018 |
| All the ways hiring algorithms can introduce bias M Bogen Harvard Business Review 6, 2019, 2019 | 124 | 2019 |
| Awareness in practice: tensions in access to sensitive attribute data for antidiscrimination M Bogen, A Rieke, S Ahmed Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 61 | 2020 |
| Adaptive Sampling Strategies to Construct Equitable Training Datasets W Cai, R Encarnacion, B Chern, S Corbett-Davies, M Bogen, S Bergman, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 31 | 2022 |
| Fairness on the ground: Applying algorithmic fairness approaches to production systems C Bakalar, R Barreto, S Bergman, M Bogen, B Chern, S Corbett-Davies, ... arXiv preprint arXiv:2103.06172, 2021 | 28 | 2021 |
| Public scrutiny of automated decisions: Early lessons and emerging methods A Rieke, M Bogen, DG Robinson Upturn, 2018 | 27* | 2018 |
| How Meta is working to assess fairness in relation to race in the US across its products and systems R Alao, M Bogen, J Miao, I Mironov, J Tannen Meta Technical Report, 2021 | 17 | 2021 |
| On the Societal Impact of Open Foundation Models S Kapoor, R Bommasani, K Klyman, S Longpre, A Ramaswami, P Cihon, ... arXiv preprint arXiv:2403.07918, 2024 | 11 | 2024 |
| Towards fairness in personalized ads using impression variance aware reinforcement learning AS Timmaraju, M Mashayekhi, M Chen, Q Zeng, Q Fettes, W Cheung, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 8 | 2023 |
| Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness C Hazirbas, Y Bang, T Yu, P Assar, B Porgali, V Albiero, S Hermanek, ... arXiv preprint arXiv:2211.05809, 2022 | 4 | 2022 |
| Leveling the platform: real transparency for paid messages on Facebook A Rieke, M Bogen APO: Analysis & Policy Observatory, 2018 | 3 | 2018 |
| Data ethics: Investing wisely in data at scale D Robinson, M Bogen EFC: European Foundation Centre, 2016 | 2 | 2016 |
| Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning A Srinivas Timmaraju, M Mashayekhi, M Chen, Q Zeng, Q Fettes, ... arXiv e-prints, arXiv: 2306.03293, 2023 | | 2023 |
| Toward fairness in personalized ads M Bogen, P Tripathi, A Srinivas Timmaraju, M Mashayekhi, Q Zeng, ... Meta Technical Report, 2023 | | 2023 |
| Machine Unlearning Doesn’t Do What You Think K Lee, AF Cooper, CA Choquette-Choo, K Liu, M Jagielski, ... | | |
