Bernease Herman

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Game Development

Differential Privacy

Top Venues

Proc. VLDB Endow.

Publications

Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. SIGMOD Rec. 53 (1) (2024)
Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Brown, Zening Qu, Nic Weber, Bill Howe
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. CoRR (2024)
Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. FAccT (2024)
Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth Mckinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. Proc. VLDB Endow. 16 (11) (2023)
Mimi Byun, Sarah Evans, Bernease Herman, Cecilia R. Aragon, Diana Rojas-ponce
Game Development as Speculative Design: Teaching Data Science Ethics Using Decentralized Research Groups. ASIST (2022)
Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, Bill Howe
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. CoRR (2022)
Sean Yang, Bernease Herman, Bill Howe
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification. NeurIPS (2022)
Shreya Shankar, Bernease Herman, Aditya G. Parameswaran
Rethinking Streaming Machine Learning Evaluation. CoRR (2022)
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
An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists. FAccT (2021)
Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young
Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition. AIES (2021)
Michael A. Katell, Meg Young, Dharma Dailey, Bernease Herman, Vivian Guetler, Aaron Tam, Corinne Bintz, Daniella Raz, P. M. Krafft
Toward situated interventions for algorithmic equity: lessons from the field. FAT* (2020)
Bernease Herman, Cecilia R. Aragon, Sarah Evans, Lea Shanley
Advancing diversity in human centered data science education through games. ASIST (2020)
Michael A. Katell, Meg Young, Bernease Herman, Dharma Dailey, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, P. M. Krafft
An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists. CoRR (2019)
Bernease Herman, Gundula Proksch, Rachel Berney, Hillary Dawkins, Jacob Kovacs, Yahui Ma, Jacob Rich, Amanda Tan
Data science for urban equity: Making gentrification an accessible topic for data scientists, policymakers, and the community. CoRR (2017)
Bill Howe, Julia Stoyanovich, Haoyue Ping, Bernease Herman, Matt Gee
Synthetic Data for Social Good. CoRR (2017)