Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes. - Muhammad Ali 014; Piotr Sapiezynski; Miranda Bogen; Aleksandra Korolova; Alan Mislove; Aaron Rieke (CoRR, 2019)

Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes. - Muhammad Ali 014; Piotr Sapiezynski; Miranda Bogen; Aleksandra Korolova; Alan Mislove; Aaron Rieke (Proc. ACM Hum. Comput. Interact., 2019)

Awareness in practice: tensions in access to sensitive attribute data for antidiscrimination. - Miranda Bogen; Aaron Rieke; Shazeda Ahmed (FAT*, 2020)

Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems. - Chloé Bakalar; Renata Barreto; Stevie Bergman; Miranda Bogen; Bobbie Chern; Sam Corbett-Davies; Melissa Hall; Isabel Kloumann; Michelle S. Lam; Joaquin Quiñonero Candela; Manish Raghavan; Joshua Simons; et al. (CoRR, 2021)

Adaptive Sampling Strategies to Construct Equitable Training Datasets. - William Cai; Ro Encarnacion; Bobbie Chern; Sam Corbett-Davies; Miranda Bogen; Stevie Bergman; Sharad Goel (FAccT, 2022)

Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness. - Caner Hazirbas; Yejin Bang; Tiezheng Yu; Parisa Assar; Bilal Porgali; Vítor Albiero; Stefan Hermanek; Jacqueline Pan; Emily McReynolds; Miranda Bogen; Pascale Fung; Cristian Canton-Ferrer (CoRR, 2022)

Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning. - Aditya Srinivas Timmaraju; Mehdi Mashayekhi; Mingliang Chen; Qi Zeng; Quintin Fettes; Wesley Cheung; Yihan Xiao; Manojkumar Rangasamy Kannadasan; Pushkar Tripathi; Sean Gahagan; Miranda Bogen; Rob Roudani (KDD, 2023)

Position: On the Societal Impact of Open Foundation Models. - Sayash Kapoor; Rishi Bommasani; Kevin Klyman; Shayne Longpre; Ashwin Ramaswami; Peter Cihon; Aspen K. Hopkins; Kevin Bankston; Stella Biderman; Miranda Bogen; Rumman Chowdhury; Alex Engler; et al. (ICML, 2024)

On the Societal Impact of Open Foundation Models. - Sayash Kapoor; Rishi Bommasani; Kevin Klyman; Shayne Longpre; Ashwin Ramaswami; Peter Cihon; Aspen K. Hopkins; Kevin Bankston; Stella Biderman; Miranda Bogen; Rumman Chowdhury; Alex Engler; et al. (CoRR, 2024)

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice. - A. Feder Cooper; Christopher A. Choquette-Choo; Miranda Bogen; Matthew Jagielski; Katja Filippova; Ken Ziyu Liu; Alexandra Chouldechova; Jamie Hayes; Yangsibo Huang; Niloofar Mireshghallah; Ilia Shumailov; Eleni Triantafillou; et al. (CoRR, 2024)

Improving Governance Outcomes Through AI Documentation: Bridging Theory and Practice. - Amy A. Winecoff; Miranda Bogen (CHI, 2025)