Emily Black

33 papers A* 4Journal 17Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Longitudinal Measurement of Privacy Policy Evolution for Large Language Models.
CoRR
Zhen Tao, Shidong Pan, Zhenchang Xing, Emily Black, Talia Gillis, Chunyang Chen
2025 J jnl
Algorithmic UDAP.
CoRR
Talia Gillis, Riley Stacy, Sam Brumer, Emily Black
2025 — conf
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set.
EAAMO
Gordon Dai, Pavan Ravishankar, Rachel Yuan, Emily Black, Daniel B. Neill
2025 J jnl
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set.
CoRR
Gordon Dai, Pavan Ravishankar, Rachel Yuan, Daniel B. Neill, Emily Black
2025 A* conf
Generative Monoculture in Large Language Models.
ICLR
Fan Wu, Emily Black, Varun Chandrasekaran
2025 A* conf
Multilingual Prompting for Improving LLM Generation Diversity.
EMNLP
Qihan Wang, Shidong Pan, Tal Linzen, Emily Black
2025 J jnl
Multilingual Prompting for Improving LLM Generation Diversity.
CoRR
Qihan Wang, Shidong Pan, Tal Linzen, Emily Black
2025 — conf
Towards Effective Discrimination Testing for Generative AI.
FAccT
Thomas P. Zollo, Nikita Rajaneesh, Richard S. Zemel, Talia Gillis, Emily Black
2024 — conf
D-hacking.
FAccT
Emily Black, Talia Gillis, Zara Yasmine Hall
2024 — conf
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features.
SaTML
Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
2024 J jnl
Generative Monoculture in Large Language Models.
CoRR
Fan Wu, Emily Black, Varun Chandrasekaran
2024 J jnl
The Legal Duty to Search for Less Discriminatory Algorithms.
CoRR
Emily Black, Logan Koepke, Pauline Kim, Solon Barocas, Mingwei Hsu
2024 J jnl
Towards Effective Discrimination Testing for Generative AI.
CoRR
Thomas P. Zollo, Nikita Rajaneesh, Richard S. Zemel, Talia B. Gillis, Emily Black
2023 — —
(Un)Fairness Along the AI Pipeline Problems and Solutions
Emily Black
2023 J jnl
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features.
CoRR
Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
2023 — conf
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools.
EAAMO
Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
2023 J jnl
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools.
CoRR
Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
2022 — conf
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models.
FAccT
Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho
2022 J jnl
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models.
CoRR
Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho
2022 A* conf
Consistent Counterfactuals for Deep Models.
ICLR
Emily Black, Zifan Wang, Matt Fredrikson
2022 — conf
Model Multiplicity: Opportunities, Concerns, and Solutions.
FAccT
Emily Black, Manish Raghavan, Solon Barocas
2022 A* conf
Selective Ensembles for Consistent Predictions.
ICLR
Emily Black, Klas Leino, Matt Fredrikson
2021 J jnl
Consistent Counterfactuals for Deep Models.
CoRR
Emily Black, Zifan Wang, Matt Fredrikson, Anupam Datta
2021 — conf
Leave-one-out Unfairness.
FAccT
Emily Black, Matt Fredrikson
2021 J jnl
Leave-one-out Unfairness.
CoRR
Emily Black, Matt Fredrikson
2021 J jnl
Selective Ensembles for Consistent Predictions.
CoRR
Emily Black, Klas Leino, Matt Fredrikson
2020 — conf
Assistive Technology for ADHD: A Systematic Literature Review.
ICITL
Emily Black, Marie Hattingh
2020 — conf
FlipTest: fairness testing via optimal transport.
FAT*
Emily Black, Samuel Yeom, Matt Fredrikson
2019 — conf
Feature-Wise Bias Amplification.
ICLR (Poster)
Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta
2019 J jnl
FlipTest: Fairness Auditing via Optimal Transport.
CoRR
Emily Black, Samuel Yeom, Matt Fredrikson
2018 J jnl
Feature-Wise Bias Amplification.
CoRR
Klas Leino, Matt Fredrikson, Emily Black, Shayak Sen, Anupam Datta
2016 J jnl
The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia.
Remote. Sens.
Emily Black, Elena Tarnavsky, Ross Maidment, Helen Greatrex, Agrotosh Mookerjee, Tristan Quaife, Matthew Brown
2013 J jnl
Dynamic Hydrological Modeling in Drylands with TRMM Based Rainfall.
Remote. Sens.
Elena Tarnavsky, Mark Mulligan, Mohamed Ouessar, Abdoulaye Faye, Emily Black