Publications

Wang, Q., Pan, S., Linzen, T., & Black, E. (2025). Multilingual Prompting for Improving LLM Generation Diversity. ArXiv Preprint ArXiv:2505.15229.

Dai, G., Ravishankar, P., Yuan, R., Neill, D. B., & Black, E. (2025). Be intentional about fairness!: Fairness, size, and multiplicity in the rashomon set. EAAMO.

Zollo, T., Rajaneesh, N., Zemel, R., Gillis, T., & Black, E. (2025). Towards Effective Discrimination Testing for Generative AI. Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 1028–1047.

Black, E., Gillis, T., & Hall, Z. Y. (2024). D-hacking. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 602–615.

Wu, F., Black, E., & Chandrasekaran, V. (2024). Generative monoculture in large language models. ArXiv Preprint ArXiv:2407.02209.

Black, E., Koepke, J. L., Kim, P. T., Barocas, S., & Hsu, M. (2024). Less discriminatory algorithms. Geo. LJ, 113, 53.

Black, E., Naidu, R., Ghani, R., Rodolfa, K., Ho, D., & Heidari, H. (2023). Toward operationalizing pipeline-aware ML fairness: A research agenda for developing practical guidelines and tools. Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 1–11.

Black, E., Leino, K., & Fredrikson, M. (2022). Selective Ensembles for Consistent Predictions. ICLR.

Black, E., Raghavan, M., & Barocas, S. (2022). Model multiplicity: Opportunities, concerns, and solutions. Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 850–863.

Black, E., Elzayn, H., Chouldechova, A., Goldin, J., & Ho, D. (2022). Algorithmic fairness and vertical equity: Income fairness with irs tax audit models. Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 1479–1503.

Black, E., Wang, Z., Fredrikson, M., & Datta, A. (2021). Consistent Counterfactuals for Deep Models. Ninth International Conference on Learning Representations.

Black, E., & Fredrikson, M. (2021). Leave-one-out unfairness. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 285–295.

Black, E., Yeom, S., & Fredrikson, M. (2020). Fliptest: fairness testing via optimal transport. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 111–121.