Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society

• 成果类型: Article
• 署名作者: Jain, Hemant; Padmanabhan, Balaji; Pavlou, Paul A.; Raghu, T. S.
• 署名单位: University of Tennessee System; University of Tennessee at Chattanooga; State University System of Florida; University of South Florida; University of Houston System; University of Houston; Arizona State University; Arizona State University-Tempe
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.2021.1046
• 发表日期: 2021
• 页码: 675-687
• 关键词: artificial-intelligence; neural-networks; INFORMATION; uncertainty; DESIGN; steps; jobs

摘要

Recent developments in artificial intelligence (AI) have increased interest in combining AI with human intelligence to develop superior systems that augment human and artificial intelligence. In this paper, augmented intelligence informally means computers and humans working together, by design, to enhance one another, such that the intelligence of the resulting system improves. Intelligence augmentation (IA) can pool the joint intelligence of humans and computers to transform individual work, organizations, and society. Notably, applications of IA are beginning to emerge in several domains, such as cybersecurity, privacy, counterterrorism, and healthcare, among others. We provide a brief summary of papers in this special section that represent early attempts to address some of the rapidly emerging research issues. We also present a framework to guide research on IA and advocate for the important implications of IA for the future of work, organizations, and society. We conclude by outlining promising research directions based on this framework for the information systems and related disciplines.