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Miranda Bogen
Miranda Bogen
Facebook (Responsible AI)
Bestätigte E-Mail-Adresse bei fb.com
Titel
Zitiert von
Zitiert von
Jahr
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
3282019
Help wanted: An examination of hiring algorithms, equity, and bias
M Bogen, A Rieke
Upturn, 2018
165*2018
All the ways hiring algorithms can introduce bias
M Bogen
Harvard Business Review 6, 2019, 2019
662019
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
452020
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
162021
Public scrutiny of automated decisions: Early lessons and emerging methods
A Rieke, M Bogen, DG Robinson
Upturn, 2018
152018
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
122022
Help Wanted—An Exploration of Hiring Algorithms, Equity and Bias. Upturn
M Bogen, A Rieke
52018
Leveling the platform: real transparency for paid messages on Facebook
A Rieke, M Bogen
Upturn, 2018
32018
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
12022
Data ethics: Investing wisely in data at scale
D Robinson, M Bogen
EFC: European Foundation Centre, 2016
12016
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