| Fliptest: fairness testing via optimal transport E Black, S Yeom, M Fredrikson Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 107 | 2020 |
| Model multiplicity: Opportunities, concerns, and solutions E Black, M Raghavan, S Barocas Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 101 | 2022 |
| Feature-wise bias amplification K Leino, E Black, M Fredrikson, S Sen, A Datta arXiv preprint arXiv:1812.08999, 2018 | 59 | 2018 |
| Consistent counterfactuals for deep models E Black, Z Wang, M Fredrikson, A Datta arXiv preprint arXiv:2110.03109, 2021 | 51 | 2021 |
| Leave-one-out unfairness E Black, M Fredrikson Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 41 | 2021 |
| 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 | 32 | 2022 |
| Selective ensembles for consistent predictions E Black, K Leino, M Fredrikson arXiv preprint arXiv:2111.08230, 2021 | 28 | 2021 |
| 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 | 15 | 2020 |
| 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 | 15 | 2020 |
| 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 | 14 | 2023 |
| 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 | 10 | 2020 |
| Less discriminatory algorithms E Black, JL Koepke, PT Kim, S Barocas, M Hsu Geo. LJ 113, 53, 2024 | 8 | 2024 |
| Fliptest: Fairness auditing via optimal transport E Black, S Yeom, M Fredrikson CoRR, abs/1906.09218, 2019 | 7 | 2019 |
| D-hacking E Black, T Gillis, ZY Hall The 2024 ACM Conference on Fairness, Accountability, and Transparency, 602-615, 2024 | 5 | 2024 |
| 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 | 3 | 2020 |
| Generative monoculture in large language models F Wu, E Black, V Chandrasekaran arXiv preprint arXiv:2407.02209, 2024 | 2 | 2024 |
| 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 | 2 | 2024 |
| 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 | 2 | 2020 |
| 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 | 1 | 2024 |
| Towards Effective Discrimination Testing for Generative AI TP Zollo, N Rajaneesh, R Zemel, TB Gillis, E Black arXiv preprint arXiv:2412.21052, 2024 | | 2024 |
Matt FredriksonCarnegie Mellon UniversityVerified email at cs.cmu.edu
