Follow
Emily Black
Emily Black
Assistant Professor of Computer Science, Barnard College, Columbia University
Verified email at barnard.edu - Homepage
Title
Cited by
Cited by
Year
Fliptest: fairness testing via optimal transport
E Black, S Yeom, M Fredrikson
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
1022020
Model multiplicity: Opportunities, concerns, and solutions
E Black, M Raghavan, S Barocas
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
872022
Feature-wise bias amplification
K Leino, E Black, M Fredrikson, S Sen, A Datta
arXiv preprint arXiv:1812.08999, 2018
552018
Consistent counterfactuals for deep models
E Black, Z Wang, M Fredrikson, A Datta
arXiv preprint arXiv:2110.03109, 2021
482021
Leave-one-out unfairness
E Black, M Fredrikson
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
382021
Algorithmic fairness and vertical equity: Income fairness with irs tax audit models
E Black, H Elzayn, A Chouldechova, J Goldin, D Ho
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
292022
Selective ensembles for consistent predictions
E Black, K Leino, M Fredrikson
arXiv preprint arXiv:2111.08230, 2021
282021
Spectral analysis of molecular dynamics simulations on PDZ: MD sectors
B Lakhani, KM Thayer, E Black, DL Beveridge
Journal of Biomolecular Structure and Dynamics 38 (3), 781-790, 2020
152020
Evaluating facial recognition technology: a protocol for performance assessment in new domains
DE Ho, E Black, M Agrawala, L Fei-Fei
Denv. L. Rev. 98, 753, 2020
142020
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
E Black, R Naidu, R Ghani, K Rodolfa, D Ho, H Heidari
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023
102023
A call for universities to develop requirements for community engagement in ai research
E Black, J Williams, MA Madaio, PL Donti
The Fair and Responsible AI Workshop at the 2020 CHI Conference on Human …, 2020
102020
Fliptest: Fairness auditing via optimal transport
E Black, S Yeom, M Fredrikson
CoRR, abs/1906.09218, 2019
72019
Less discriminatory algorithms
E Black, JL Koepke, P Kim, S Barocas, M Hsu
Georgetown Law Journal 113 (1), 2024
62024
How regulators can get facial recognition technology right
DE Ho, E Black, M Agrawala, FF Li
< bound method Organization. get_name_with_acronym of< Organization …, 2020
32020
Estimating and implementing conventional fairness metrics with probabilistic protected features
H Elzayn, E Black, P Vossler, N Jo, J Goldin, DE Ho
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 161-193, 2024
22024
Domain Shift and Emerging Questions in Facial Recognition Technology
DE Ho, E Black, M Agrwawala, FF Li
policy brief, Stanford University Human-Centered Artificial Intelligence …, 2020
22020
Generative monoculture in large language models
F Wu, E Black, V Chandrasekaran
arXiv preprint arXiv:2407.02209, 2024
12024
The Legal Duty to Search for Less Discriminatory Algorithms
E Black, L Koepke, P Kim, S Barocas, M Hsu
arXiv preprint arXiv:2406.06817, 2024
12024
D-hacking
E Black, T Gillis, ZY Hall
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 602-615, 2024
12024
The Spiderweb of Partnership Tax Structures
R Hess, E Black, Z Javed, J Hennessy, R Lester, J Goldin, DE Ho, A Portz
Available at SSRN, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20