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2020 – today
- 2024
[j2]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): 65-74 (2024)- [c7]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: 1199-1210 - [i6]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 abs/2405.16820 (2024) - 2023
- [j1]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): 3178-3191 (2023) - 2022
- [c6]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: 630-632 - [c5]Sean Yang, Bernease Herman, Bill Howe:
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification. NeurIPS 2022 - [i5]Shreya Shankar, Bernease Herman, Aditya G. Parameswaran:
Rethinking Streaming Machine Learning Evaluation. CoRR abs/2205.11473 (2022) - [i4]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 abs/2208.12700 (2022) - 2021
- [c4]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: 895-904 - [c3]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: 772-781 - 2020
- [c2]Bernease Herman, Cecilia R. Aragon, Sarah Evans, Lea Shanley:
Advancing diversity in human centered data science education through games. ASIST 2020 - [c1]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: 45-55
2010 – 2019
- 2019
- [i3]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 abs/1912.02943 (2019) - 2017
- [i2]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 abs/1710.02447 (2017) - [i1]Bill Howe, Julia Stoyanovich, Haoyue Ping, Bernease Herman, Matt Gee:
Synthetic Data for Social Good. CoRR abs/1710.08874 (2017)
Coauthor Index
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