2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CY2026
How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language
Madeleine I. G. Daepp, Isaac Slaughter
AI is being used by people globally, but not everyone is using it in the same ways. Using a large-scale dataset of anonymized, de-identified, and privacy-scrubbed interactions with…
cs.AI2025
Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders
Kshitish Ghate, Isaac Slaughter, Kyra Wilson +2
While recent work has found that vision-language models trained under the Contrastive Language Image Pre-training (CLIP) framework contain intrinsic social biases, the extent to wh…
cs.CL2023★ 2 cited
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition
Isaac Slaughter, Craig Greenberg, Reva Schwartz +1
Previous work has established that a person's demographics and speech style affect how well speech processing models perform for them. But where does this bias come from? In this w…