Bernease Herman

17 papers A* 1C 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Framework for Measuring and Benchmarking Fairness of Generative Crowd-Flow Models.
ACM J. Comput. Sustain. Soc.
Jiaqi He, Apoorva Sheera, Jack W. McFarland, Feiyang Wang, Manurag Khullar, Sakshi Chavan, Bernease Herman, Ekin Ugurel, Afra Mashhadi
2025 J jnl
Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective.
CoRR
Sarah Tran, Hongfan Lu, Isaac Slaughter, Bernease Herman, Aayushi Dangol, Yue Fu, Lufei Chen, Biniyam Gebreyohannes, Bill Howe, Alexis Hiniker, Nicholas M. Weber, Robert Wolfe
2024 J jnl
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
SIGMOD Rec.
Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
2024 — conf
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings.
FAccT
Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe
2024 J jnl
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings.
CoRR
Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Brown, Zening Qu, Nic Weber, Bill Howe
2023 J jnl
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
Proc. VLDB Endow.
Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
2022 J jnl
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
CoRR
Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, Bill Howe
2022 — conf
Game Development as Speculative Design: Teaching Data Science Ethics Using Decentralized Research Groups.
ASIST
Mimi Byun, Sarah A. Evans, Bernease Herman, Cecilia R. Aragon, Diana Rojas-Ponce
2022 A* conf
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification.
NeurIPS
Sean Yang, Bernease Herman, Bill Howe
2022 J jnl
Rethinking Streaming Machine Learning Evaluation.
CoRR
Shreya Shankar, Bernease Herman, Aditya G. Parameswaran
2021 — conf
An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists.
FAccT
P. M. Krafft, Meg Young, Michael A. Katell, Jennifer E. Lee, Shankar Narayan, Micah Epstein, Dharma Dailey, Bernease Herman, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, Pa Ousman Jobe, Franziska Putz, Brian Robick, Bissan Barghouti
2021 C conf
Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition.
AIES
Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young
2020 — conf
Advancing diversity in human centered data science education through games.
ASIST
Bernease Herman, Cecilia R. Aragon, Sarah A. Evans, Lea Shanley
2020 — conf
Toward situated interventions for algorithmic equity: lessons from the field.
FAT*
Michael A. Katell, Meg Young, Dharma Dailey, Bernease Herman, Vivian Guetler, Aaron Tam, Corinne Bintz, Daniella Raz, P. M. Krafft
2019 J jnl
An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists.
CoRR
Michael A. Katell, Meg Young, Bernease Herman, Dharma Dailey, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, P. M. Krafft
2017 J jnl
Data science for urban equity: Making gentrification an accessible topic for data scientists, policymakers, and the community.
CoRR
Bernease Herman, Gundula Proksch, Rachel Berney, Hillary Dawkins, Jacob Kovacs, Yahui Ma, Jacob Rich, Amanda Tan
2017 J jnl
Synthetic Data for Social Good.
CoRR
Bill Howe, Julia Stoyanovich, Haoyue Ping, Bernease Herman, Matt Gee