Bernease Herman

According to our database, Bernease Herman authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.

Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich

SIGMOD Rec., March, 2024

Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings.

Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2022

Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.

Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, Bill Howe

CoRR, 2022

Rethinking Streaming Machine Learning Evaluation.

Shreya Shankar, Bernease Herman, Aditya G. Parameswaran

CoRR, 2022

Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification.

Sean Yang, Bernease Herman, Bill Howe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Game Development as Speculative Design: Teaching Data Science Ethics Using Decentralized Research Groups.

Mimi Byun, Sarah Evans, Bernease Herman, Cecilia R. Aragon, Diana Rojas-ponce

Proceedings of the Crisis, Transition, Resilience: Re-imagining an information resilient society, 2022

2021

An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists.

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

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition.

Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Toward situated interventions for algorithmic equity: lessons from the field.

Michael A. Katell, Meg Young, Dharma Dailey, Bernease Herman, Vivian Guetler, Aaron Tam, Corinne Bintz, Daniella Raz, P. M. Krafft

Proceedings of the FAT* '20: Conference on Fairness, 2020

Advancing diversity in human centered data science education through games.

Bernease Herman, Cecilia R. Aragon, Sarah Evans, Lea Shanley

Proceedings of the Information for a Sustainable World: Addressing Society's Grand Challenges, 2020

2019

An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists.

Michael A. Katell, Meg Young, Bernease Herman, Dharma Dailey, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, P. M. Krafft

CoRR, 2019

2017

Synthetic Data for Social Good.

Bill Howe, Julia Stoyanovich, Haoyue Ping, Bernease Herman, Matt Gee

CoRR, 2017

Data science for urban equity: Making gentrification an accessible topic for data scientists, policymakers, and the community.

Bernease Herman, Gundula Proksch, Rachel Berney, Hillary Dawkins, Jacob Kovacs, Yahui Ma, Jacob Rich, Amanda Tan

CoRR, 2017