{"title":"Understanding Human-AI Augmentation in the Workplace: A Review and a Future Research Agenda","authors":"Trinh Nguyen, Amany Elbanna","doi":"10.1007/s10796-025-10591-5","DOIUrl":null,"url":null,"abstract":"<p>The relationship between humans and artificial intelligence has sparked considerable debate and polarized opinions. A significant area of focus in this discourse that has garnered research attention is the potential for humans and AI to augment one another in order to enhance outcomes. Despite the increasing interest in this subject, the existing research is currently fragmented and dispersed across various management disciplines, making it challenging for researchers and practitioners to build upon and benefit from a cohesive body of knowledge. This study offers an organized literature review to synthesize the current literature and research findings, thereby establishing a foundation for future inquiries. It identifies three emerging themes related to the nature, impacts, and challenges of Human-AI augmentation, further delineating them into several associated topics. The study presents the research findings related to each theme and topic before proposing future research agenda and questions.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"67 1","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Frontiers","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10796-025-10591-5","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The relationship between humans and artificial intelligence has sparked considerable debate and polarized opinions. A significant area of focus in this discourse that has garnered research attention is the potential for humans and AI to augment one another in order to enhance outcomes. Despite the increasing interest in this subject, the existing research is currently fragmented and dispersed across various management disciplines, making it challenging for researchers and practitioners to build upon and benefit from a cohesive body of knowledge. This study offers an organized literature review to synthesize the current literature and research findings, thereby establishing a foundation for future inquiries. It identifies three emerging themes related to the nature, impacts, and challenges of Human-AI augmentation, further delineating them into several associated topics. The study presents the research findings related to each theme and topic before proposing future research agenda and questions.
期刊介绍：
The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.
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