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2020 – today
- 2024
[c4]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, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
Position: On the Societal Impact of Open Foundation Models. ICML 2024- [i9]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, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
On the Societal Impact of Open Foundation Models. CoRR abs/2403.07918 (2024) - [i8]Amy A. Winecoff, Miranda Bogen:
Improving governance outcomes through AI documentation: Bridging theory and practice. CoRR abs/2409.08960 (2024) - [i7]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, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark Lemley, danah boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna M. Wallach, Nicolas Papernot, Katherine Lee:
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice. CoRR abs/2412.06966 (2024) - 2023
- [c3]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:
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning. KDD 2023: 4937-4947 - [i6]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:
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning. CoRR abs/2306.03293 (2023) - 2022
- [c2]William Cai, Ro Encarnacion, Bobbie Chern, Sam Corbett-Davies, Miranda Bogen, Stevie Bergman, Sharad Goel:
Adaptive Sampling Strategies to Construct Equitable Training Datasets. FAccT 2022: 1467-1478 - [i5]William Cai, Ro Encarnacion, Bobbie Chern, Sam Corbett-Davies, Miranda Bogen, Stevie Bergman, Sharad Goel:
Adaptive Sampling Strategies to Construct Equitable Training Datasets. CoRR abs/2202.01327 (2022) - [i4]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:
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness. CoRR abs/2211.05809 (2022) - 2021
- [i3]Chloé Bakalar, Renata Barreto, Stevie Bergman, Miranda Bogen, Bobbie Chern, Sam Corbett-Davies, Melissa Hall, Isabel Kloumann, Michelle Lam, Joaquin Quiñonero Candela, Manish Raghavan, Joshua Simons, Jonathan Tannen, Edmund Tong, Kate Vredenburgh, Jiejing Zhao:
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems. CoRR abs/2103.06172 (2021) - 2020
- [c1]Miranda Bogen, Aaron Rieke, Shazeda Ahmed:
Awareness in practice: tensions in access to sensitive attribute data for antidiscrimination. FAT* 2020: 492-500
2010 – 2019
- 2019
- [j1]Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke:
Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes. Proc. ACM Hum. Comput. Interact. 3(CSCW): 199:1-199:30 (2019) - [i2]Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke:
Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes. CoRR abs/1904.02095 (2019) - [i1]Miranda Bogen, Aaron Rieke, Shazeda Ahmed:
Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination. CoRR abs/1912.06171 (2019)
Coauthor Index
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