Dynamic Hydrological Modeling in Drylands with TRMM Based Rainfall. - Elena Tarnavsky; Mark Mulligan; Mohamed Ouessar; Abdoulaye Faye; Emily Black (Remote. Sens., 2013)

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 003 (Remote. Sens., 2016)

Feature-Wise Bias Amplification. - Klas Leino; Emily Black; Matt Fredrikson; Shayak Sen; Anupam Datta (ICLR (Poster), 2019)

FlipTest: Fairness Auditing via Optimal Transport. - Emily Black; Samuel Yeom; Matt Fredrikson (CoRR, 2019)

FlipTest: fairness testing via optimal transport. - Emily Black; Samuel Yeom; Matt Fredrikson (FAT*, 2020)

Assistive Technology for ADHD: A Systematic Literature Review. - Emily Black; Marie Hattingh (ICITL, 2020)

Leave-one-out Unfairness. - Emily Black; Matt Fredrikson (FAccT, 2021)

Consistent Counterfactuals for Deep Models. - Emily Black; Zifan Wang 001; Matt Fredrikson; Anupam Datta (CoRR, 2021)

Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. - Emily Black; Hadi Elzayn; Alexandra Chouldechova; Jacob Goldin; Daniel E. Ho (FAccT, 2022)

Model Multiplicity: Opportunities, Concerns, and Solutions. - Emily Black; Manish Raghavan; Solon Barocas (FAccT, 2022)

Selective Ensembles for Consistent Predictions. - Emily Black; Klas Leino; Matt Fredrikson (ICLR, 2022)

Consistent Counterfactuals for Deep Models. - Emily Black; Zifan Wang 001; Matt Fredrikson (ICLR, 2022)

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 (EAAMO, 2023)

(Un)Fairness Along the AI Pipeline Problems and Solutions - Emily Black (2023)

D-hacking. - Emily Black; Talia Gillis; Zara Yasmine Hall (FAccT, 2024)

Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. - Hadi Elzayn; Emily Black; Patrick Vossler; Nathanael Jo; Jacob Goldin; Daniel E. Ho (SaTML, 2024)

The Legal Duty to Search for Less Discriminatory Algorithms. - Emily Black; Logan Koepke; Pauline Kim; Solon Barocas; Mingwei Hsu (CoRR, 2024)

Towards Effective Discrimination Testing for Generative AI. - Thomas P. Zollo; Nikita Rajaneesh; Richard S. Zemel; Talia Gillis; Emily Black (FAccT, 2025)

Generative Monoculture in Large Language Models. - Fan Wu; Emily Black; Varun Chandrasekaran (ICLR, 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, 2025)

Multilingual Prompting for Improving LLM Generation Diversity. - Qihan Wang; Shidong Pan; Tal Linzen; Emily Black (CoRR, 2025)