{"title":"ChatGPT: high-tech plagiarism awaits academic publishing green light. Non-fungible token (NFT) can be a way out","authors":"Zahra Mohammadzadeh, M. Ausloos, H. Saeidnia","doi":"10.1108/lhtn-04-2023-0067","DOIUrl":null,"url":null,"abstract":"\nPurpose\nChatGPT from OpenAI is an amazing example of machine learning technology. This technology has now become an important issue for high-tech plagiarism concern. Indeed, there are many concerns about using this tool, perhaps using other technologies to make ChatGPT safer. Non-fungible tokens (NFTs) may be a way out. This paper aims to discuss such an alternative.\n\n\nDesign/methodology/approach\nTo preventing with high-tech plagiarism created by the ChatGPT tool two ways can help schools, universities and scientific centers to prevent academic plagiarism: first, by banning ChatGPT and adjusting teaching styles, and second, by using detecting AI-produced content. In this viewpoint, the authors suggest a third way that can be a way out.\n\n\nFindings\nNFTs technology has the ability to add a non-fungibility feature to any digital object (image, text or video). Therefore, any text produced by artificial intelligence tools can be given a specific NFT code. With this work, the authors add a feature to texts produced by artificial intelligence, that is, the non-fungibility feature.\n\n\nOriginality/value\nIn this viewpoint, how and why NFTs may be a usefully added value in preventing acts of high-tech plagiarism on ChatGPT is discussed.\n","PeriodicalId":39748,"journal":{"name":"Library Hi Tech News","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Library Hi Tech News","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/lhtn-04-2023-0067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 3
Abstract
Purpose
ChatGPT from OpenAI is an amazing example of machine learning technology. This technology has now become an important issue for high-tech plagiarism concern. Indeed, there are many concerns about using this tool, perhaps using other technologies to make ChatGPT safer. Non-fungible tokens (NFTs) may be a way out. This paper aims to discuss such an alternative.
Design/methodology/approach
To preventing with high-tech plagiarism created by the ChatGPT tool two ways can help schools, universities and scientific centers to prevent academic plagiarism: first, by banning ChatGPT and adjusting teaching styles, and second, by using detecting AI-produced content. In this viewpoint, the authors suggest a third way that can be a way out.
Findings
NFTs technology has the ability to add a non-fungibility feature to any digital object (image, text or video). Therefore, any text produced by artificial intelligence tools can be given a specific NFT code. With this work, the authors add a feature to texts produced by artificial intelligence, that is, the non-fungibility feature.
Originality/value
In this viewpoint, how and why NFTs may be a usefully added value in preventing acts of high-tech plagiarism on ChatGPT is discussed.
期刊介绍:
Library Hi Tech News (LHTN) helps busy professionals stay abreast of current events and developments in the library and information industry. LHTN publishes articles of varying lengths, reports from relevant conferences, and case studies of how technology is used in the library. The Editors work closely with authors who are new to publishing, and those who are seeking outlets for reporting on practical uses of IT in libraries. Publishing your article in LHTN can be "a place to start," analogous to a "poster session in print", and does not preclude publishing a more fulsome piece in a peer-reviewed journal at a later date. Readers consider LHTN as the source from which to hear what’s coming next in terms of technology development for academic and public libraries.