Isaac Slaughter

According to our database, Isaac Slaughter authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective.

Sarah Tran, Hongfan Lu, Isaac Slaughter, Bernease Herman, Aayushi Dangol, Yue Fu, Lufei Chen, Biniyam Gebreyohannes, Bill Howe, Alexis Hiniker, Nicholas M. Weber, Robert Wolfe

CoRR, August, 2025

Community Notes Moderate Engagement With and Diffusion of False Information Online.

Isaac Slaughter, Axel Peytavin, Johan Ugander, Martin Saveski

CoRR, February, 2025

Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders.

Kshitish Ghate, Isaac Slaughter, Kyra Wilson, Mona T. Diab, Aylin Caliskan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

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

The Impact of iBuying is About More Than Just Racial Disparities: Evidence from Mecklenburg County, NC.

Isaac Slaughter, Eva Maxfield Brown, Nicholas Weber

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

2023

Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition.

Isaac Slaughter, Craig Greenberg, Reva Schwartz, Aylin Caliskan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023