2 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats
Kuleen Sasse, Carlos Aguirre, Isabel Cachola +2
WARNING: This paper contains content that maybe upsetting or offensive to some readers. Dog whistles are coded expressions with dual meanings: one intended for the general public (…
Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts
Sharon Levy, William D. Adler, Tahilin Sanchez Karver +2
Large language models (LLMs) acquire beliefs about gender from training data and can therefore generate text with stereotypical gender attitudes. Prior studies have demonstrated mo…
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
Iain Weissburg, Sathvika Anand, Sharon Levy +1
With the increasing adoption of large language models (LLMs) in education, concerns about inherent biases in these models have gained prominence. We evaluate LLMs for bias in the p…
Evaluating Biases in Context-Dependent Health Questions
Sharon Levy, Tahilin Sanchez Karver, William D. Adler +2
Chat-based large language models have the opportunity to empower individuals lacking high-quality healthcare access to receive personalized information across a variety of topics.…