Emily Black

According to our database, Emily Black authored at least 21 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multilingual Prompting for Improving LLM Generation Diversity.

Qihan Wang, Shidong Pan, Tal Linzen, Emily Black

CoRR, May, 2025

Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set.

Gordon Dai, Pavan Ravishankar, Rachel Yuan, Daniel B. Neill, Emily Black

CoRR, January, 2025

Generative Monoculture in Large Language Models.

Fan Wu, Emily Black, Varun Chandrasekaran

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Effective Discrimination Testing for Generative AI.

Thomas P. Zollo, Nikita Rajaneesh, Richard S. Zemel, Talia Gillis, Emily Black

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

The Legal Duty to Search for Less Discriminatory Algorithms.

Emily Black, Logan Koepke, Pauline Kim, Solon Barocas, Mingwei Hsu

CoRR, 2024

Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features.

Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

D-hacking.

Emily Black, Talia Gillis, Zara Yasmine Hall

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

(Un)Fairness Along the AI Pipeline Problems and Solutions

Emily Black

PhD thesis, 2023

Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools.

Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

Consistent Counterfactuals for Deep Models.

Emily Black, Zifan Wang, Matt Fredrikson

Proceedings of the Tenth International Conference on Learning Representations, 2022

Selective Ensembles for Consistent Predictions.

Emily Black, Klas Leino, Matt Fredrikson

Proceedings of the Tenth International Conference on Learning Representations, 2022

Model Multiplicity: Opportunities, Concerns, and Solutions.

Emily Black, Manish Raghavan, Solon Barocas

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models.

Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Consistent Counterfactuals for Deep Models.

Emily Black, Zifan Wang, Matt Fredrikson, Anupam Datta

CoRR, 2021

Leave-one-out Unfairness.

Emily Black, Matt Fredrikson

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Assistive Technology for ADHD: A Systematic Literature Review.

Emily Black, Marie Hattingh

Proceedings of the Innovative Technologies and Learning - Third International Conference, 2020

FlipTest: fairness testing via optimal transport.

Emily Black, Samuel Yeom, Matt Fredrikson

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

FlipTest: Fairness Auditing via Optimal Transport.

Emily Black, Samuel Yeom, Matt Fredrikson

CoRR, 2019

Feature-Wise Bias Amplification.

Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta

Proceedings of the 7th International Conference on Learning Representations, 2019

2016

The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia.

Emily Black, Elena Tarnavsky, Ross Maidment, Helen Greatrex, Agrotosh Mookerjee, Tristan Quaife, Matthew Brown

Remote. Sens., 2016

2013

Dynamic Hydrological Modeling in Drylands with TRMM Based Rainfall.

Elena Tarnavsky, Mark Mulligan, Mohamed Ouessar, Abdoulaye Faye, Emily Black

Remote. Sens., 2013