Bernease Herman

Orcid: 0000-0002-5453-4994

According to our database1, Bernease Herman authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
SIGMOD Rec., March, 2024

Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2022
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy.
CoRR, 2022

Rethinking Streaming Machine Learning Evaluation.
CoRR, 2022

Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification.
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.
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.
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.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Toward situated interventions for algorithmic equity: lessons from the field.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Advancing diversity in human centered data science education through games.
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.
CoRR, 2019

2017
Synthetic Data for Social Good.
CoRR, 2017

Data science for urban equity: Making gentrification an accessible topic for data scientists, policymakers, and the community.
CoRR, 2017


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