{"title":"Children of AI: A Protocol for Managing the Born-Digital Ephemera Spawned by Generative AI Language Models","authors":"Dirk H. R. Spennemann","doi":"10.3390/publications11030045","DOIUrl":null,"url":null,"abstract":"The recent public release of the generative AI language model ChatGPT has captured the public imagination and has resulted in a rapid uptake and widespread experimentation by the general public and academia alike. The number of academic publications focusing on the capabilities as well as practical and ethical implications of generative AI has been growing exponentially. One of the concerns with this unprecedented growth in scholarship related to generative AI, in particular, ChatGPT, is that, in most cases, the raw data, which is the text of the original ‘conversations,’ have not been made available to the audience of the papers and thus cannot be drawn on to assess the veracity of the arguments made and the conclusions drawn therefrom. This paper provides a protocol for the documentation and archiving of these raw data.","PeriodicalId":37551,"journal":{"name":"Publications","volume":"48 1","pages":"0"},"PeriodicalIF":4.6000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Publications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/publications11030045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The recent public release of the generative AI language model ChatGPT has captured the public imagination and has resulted in a rapid uptake and widespread experimentation by the general public and academia alike. The number of academic publications focusing on the capabilities as well as practical and ethical implications of generative AI has been growing exponentially. One of the concerns with this unprecedented growth in scholarship related to generative AI, in particular, ChatGPT, is that, in most cases, the raw data, which is the text of the original ‘conversations,’ have not been made available to the audience of the papers and thus cannot be drawn on to assess the veracity of the arguments made and the conclusions drawn therefrom. This paper provides a protocol for the documentation and archiving of these raw data.
PublicationsSocial Sciences-Library and Information Sciences
CiteScore
6.50
自引率
1.90%
发文量
40
审稿时长
11 weeks
期刊介绍：
The scope of Publications includes: Theory and practice of scholarly communication Digitisation and innovations in scholarly publishing technologies Metadata, infrastructure, and linking the scholarly record Publishing policies and editorial/peer-review workflows Financial models for scholarly publishing Copyright, licensing and legal issues in publishing Research integrity and publication ethics Issues and best practices in the publication of non-traditional research outputs (e.g., data, software/code, protocols, data management plans, grant proposals, etc.) Issues in the transition to open access and open science Inclusion and participation of traditionally excluded actors Language issues in publication processes and products Traditional and alternative models of peer review Traditional and alternative means of assessment and evaluation of research and its impact, including bibliometrics and scientometrics The place of research libraries, scholarly societies, funders and others in scholarly communication.
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