Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans

Published:2024-06-03 Issue: Volume: Page:1321-1340
ISSN:
Container-title:The 2024 ACM Conference on Fairness, Accountability, and Transparency
language:
Short-container-title:

Author:

Lee Messi H.J.¹^ORCID,Montgomery Jacob M.²^ORCID,Lai Calvin K.³^ORCID

Affiliation:

1. Division of Computational and Data Sciences, Washington University in St.Louis, United States

2. Department of Political Science, Washington University in St.Louis, USA

3. Department of Psychological & Brain Sciences, Washington University in St.Louis, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3630106.3658975

Reference51 articles.

1. Abubakar Abid Maheen Farooqi and James Zou. 2021. Persistent Anti-Muslim Bias in Large Language Models. https://doi.org/10.48550/arXiv.2101.05783 arxiv:2101.05783 [cs]

2. They All Look the Same to Me (Unless They're Angry)

3. Fitting Linear Mixed-Effects Models Usinglme4

4. On the Dangers of Stochastic Parrots

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP