{"title":"结束人工智能检测军备竞赛。","authors":"J Scott Christianson","doi":"10.1016/j.patter.2024.101058","DOIUrl":null,"url":null,"abstract":"<p><p>The advent of easy-to-use large language models (LLMs) such as ChatGPT has started an arms race in academia between students who use AI and faculty trying to detect that use. This unproductive battle must end, and faculty can help broker peace by rethinking assignments and using LLMs where appropriate.</p>","PeriodicalId":36242,"journal":{"name":"Patterns","volume":"5 10","pages":"101058"},"PeriodicalIF":6.7000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11573885/pdf/","citationCount":"0","resultStr":"{\"title\":\"End the AI detection arms race.\",\"authors\":\"J Scott Christianson\",\"doi\":\"10.1016/j.patter.2024.101058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The advent of easy-to-use large language models (LLMs) such as ChatGPT has started an arms race in academia between students who use AI and faculty trying to detect that use. This unproductive battle must end, and faculty can help broker peace by rethinking assignments and using LLMs where appropriate.</p>\",\"PeriodicalId\":36242,\"journal\":{\"name\":\"Patterns\",\"volume\":\"5 10\",\"pages\":\"101058\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11573885/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Patterns\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.patter.2024.101058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Patterns","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.patter.2024.101058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
The advent of easy-to-use large language models (LLMs) such as ChatGPT has started an arms race in academia between students who use AI and faculty trying to detect that use. This unproductive battle must end, and faculty can help broker peace by rethinking assignments and using LLMs where appropriate.
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