Howe, Bill

Interventional Fairness: Causal Database Repair for Algorithmic Fairness

Salimi, B., Rodriguez, L., Howe, B., & Suciu, D. (2019) · Proceedings of the 2019 International Conference on Management of Data

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 145

DataSynthesizer: Privacy-Preserving Synthetic Datasets

Ping, H., Stoyanovich, J., & Howe, B. (2017) · Proceedings of the 29th International Conference on Scientific and Statistical Database Management

Privacy-Preserving Technologies in Datademographic modeling and climate adaptation

Cited by 144

A Nutritional Label for Rankings

Yang, K., Stoyanovich, J., Asudeh, A., Howe, B., Jagadish, H., & Miklau, G. (2018) · Proceedings of the 2018 International Conference on Management of Data

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 103

Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias

Wolfe, R., Yang, Y., Howe, B., & Caliskan, A. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIMultimodal Machine Learning Applications

Cited by 42

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

Wolfe, R., Slaughter, I., Han, B., Wen, B., Yang, Y., Rosenblatt, L., Herman, B., Brown, E., Qu, Z., Weber, N., et al. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 24

Characterizing LLM Abstention Behavior in Science QA with Context Perturbations

Wen, B., Howe, B., & Wang, L. L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5