Implicit bias in large language models: Experimental proof and implications for education

IF 5.1 2区教育学 Q1 Social Sciences

Journal of Research on Technology in Education Pub Date : 2024-08-28 DOI:10.1080/15391523.2024.2395295

Melissa Warr, Nicole Jakubczyk Oster, Roger Isaac

引用次数: 0

Abstract

We provide experimental evidence of implicit racial bias in a large language model (specifically ChatGPT 3.5) in the context of an educational task and discuss implications for the use of these too...

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大型语言模型中的隐性偏差：实验证明及对教育的影响

我们提供了在教育任务背景下大型语言模型（特别是 ChatGPT 3.5）中存在隐性种族偏见的实验证据，并讨论了使用这些模型的意义...

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来源期刊

Journal of Research on Technology in Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

11.70

自引率

5.90%

发文量

期刊介绍： The Journal of Research on Technology in Education (JRTE) is a premier source for high-quality, peer-reviewed research that defines the state of the art, and future horizons, of teaching and learning with technology. The terms "education" and "technology" are broadly defined. Education is inclusive of formal educational environments ranging from PK-12 to higher education, and informal learning environments, such as museums, community centers, and after-school programs. Technology refers to both software and hardware innovations, and more broadly, the application of technological processes to education.