{"title":"大型语言模型中的隐性偏差:实验证明及对教育的影响","authors":"Melissa Warr, Nicole Jakubczyk Oster, Roger Isaac","doi":"10.1080/15391523.2024.2395295","DOIUrl":null,"url":null,"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...","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"1 1","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implicit bias in large language models: Experimental proof and implications for education\",\"authors\":\"Melissa Warr, Nicole Jakubczyk Oster, Roger Isaac\",\"doi\":\"10.1080/15391523.2024.2395295\",\"DOIUrl\":null,\"url\":null,\"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...\",\"PeriodicalId\":47444,\"journal\":{\"name\":\"Journal of Research on Technology in Education\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Research on Technology in Education\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1080/15391523.2024.2395295\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Research on Technology in Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/15391523.2024.2395295","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
Implicit bias in large language models: Experimental proof and implications for education
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...
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.