{"title":"用人工智能实现同行评审的人性化:悖论还是灵丹妙药?","authors":"Joseph Crawford, Kelly-Ann Allen, Jason Lodge","doi":"10.53761/xeqvhc70","DOIUrl":null,"url":null,"abstract":"The emergence of artificial intelligence in the higher education publishing context has led to scholars seeking opportunities to leverage the new technological affordances offered by the tool. Yet, there have been questions emerging about the extent to which artificial intelligence should prompt scholars towards certain outcomes. In this commentary, we examine the need for human flourishing to sit at the forefront of decisions around academic publishing alongside the pursuit of fair and innovative knowledge creation and dissemination. We advocate an evidence-based position against artificial intelligence as a peer reviewer, recognising that parroting knowledge is insufficient to be critical and comprehensive in the review process. There are significant limitations to the current artificial intelligence tools from bias to current corpus limitations that restrict its usefulness as a gatekeeper of knowledge, a key role a reviewer takes on board. We offer suggestions for places where artificial intelligence tools may be quite useful and offer some future directions for artificial intelligence in publishing processes.","PeriodicalId":45764,"journal":{"name":"Journal of University Teaching and Learning Practice","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Humanising Peer Review with Artificial Intelligence: Paradox or Panacea?\",\"authors\":\"Joseph Crawford, Kelly-Ann Allen, Jason Lodge\",\"doi\":\"10.53761/xeqvhc70\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The emergence of artificial intelligence in the higher education publishing context has led to scholars seeking opportunities to leverage the new technological affordances offered by the tool. Yet, there have been questions emerging about the extent to which artificial intelligence should prompt scholars towards certain outcomes. In this commentary, we examine the need for human flourishing to sit at the forefront of decisions around academic publishing alongside the pursuit of fair and innovative knowledge creation and dissemination. We advocate an evidence-based position against artificial intelligence as a peer reviewer, recognising that parroting knowledge is insufficient to be critical and comprehensive in the review process. There are significant limitations to the current artificial intelligence tools from bias to current corpus limitations that restrict its usefulness as a gatekeeper of knowledge, a key role a reviewer takes on board. We offer suggestions for places where artificial intelligence tools may be quite useful and offer some future directions for artificial intelligence in publishing processes.\",\"PeriodicalId\":45764,\"journal\":{\"name\":\"Journal of University Teaching and Learning Practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of University Teaching and Learning Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53761/xeqvhc70\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of University Teaching and Learning Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53761/xeqvhc70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Humanising Peer Review with Artificial Intelligence: Paradox or Panacea?
The emergence of artificial intelligence in the higher education publishing context has led to scholars seeking opportunities to leverage the new technological affordances offered by the tool. Yet, there have been questions emerging about the extent to which artificial intelligence should prompt scholars towards certain outcomes. In this commentary, we examine the need for human flourishing to sit at the forefront of decisions around academic publishing alongside the pursuit of fair and innovative knowledge creation and dissemination. We advocate an evidence-based position against artificial intelligence as a peer reviewer, recognising that parroting knowledge is insufficient to be critical and comprehensive in the review process. There are significant limitations to the current artificial intelligence tools from bias to current corpus limitations that restrict its usefulness as a gatekeeper of knowledge, a key role a reviewer takes on board. We offer suggestions for places where artificial intelligence tools may be quite useful and offer some future directions for artificial intelligence in publishing processes.
期刊介绍:
The Journal of University Teaching and Learning Practice aims to add significantly to the body of knowledge describing effective and innovative teaching and learning practice in higher education.The Journal is a forum for educational practitioners across a wide range of disciplines. Its purpose is to facilitate the communication of teaching and learning outcomes in a scholarly way, bridging the gap between journals covering purely academic research and articles and opinions published without peer review.