Xiao Wang, Yutong Wang, Mariana Netto, Larry Stapleton, Zhe Wan, Fei-Yue Wang
{"title":"Smart Decentralized Autonomous Organizations and Operations for Smart Societies: Human–Autonomous Organizations for Industry 5.0 and Society 5.0","authors":"Xiao Wang, Yutong Wang, Mariana Netto, Larry Stapleton, Zhe Wan, Fei-Yue Wang","doi":"10.1109/mis.2023.3324471","DOIUrl":null,"url":null,"abstract":"This article explores the concept of human–autonomous organizations (HAOs) based on decentralized autonomous organizations (DAOs) and operations as well as human, artificial, natural, and organizational intelligence and their roles in shaping smart societies in the context of Industry 5.0 and Society 5.0. It discusses the potential of AI-generated content and prompt engineering in specific goal-guided manufacture and governance. Additionally, the article introduces the concept of the HAO as a framework for integrating human intelligence to achieve fair, transparent, and accountable decision making within DAOs. The proposed HAO reduces the risk of instability and unreliability in “human-in-the-loop” copilot systems and human–machine hybrid systems, leading to more reliable, secure, and flexible systems. It provides insights into the future management of smart societies and the symbiotic relationship between human ingenuity and the suite of emerging new AI technologies.","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":"20 1","pages":""},"PeriodicalIF":5.6000,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Intelligent Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/mis.2023.3324471","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This article explores the concept of human–autonomous organizations (HAOs) based on decentralized autonomous organizations (DAOs) and operations as well as human, artificial, natural, and organizational intelligence and their roles in shaping smart societies in the context of Industry 5.0 and Society 5.0. It discusses the potential of AI-generated content and prompt engineering in specific goal-guided manufacture and governance. Additionally, the article introduces the concept of the HAO as a framework for integrating human intelligence to achieve fair, transparent, and accountable decision making within DAOs. The proposed HAO reduces the risk of instability and unreliability in “human-in-the-loop” copilot systems and human–machine hybrid systems, leading to more reliable, secure, and flexible systems. It provides insights into the future management of smart societies and the symbiotic relationship between human ingenuity and the suite of emerging new AI technologies.
期刊介绍:
IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications. Typically they are degreed professionals, with backgrounds in engineering, hard science, or business. The publication emphasizes current practice and experience, together with promising new ideas that are likely to be used in the near future. Sample topic areas for feature articles include knowledge-based systems, intelligent software agents, natural-language processing, technologies for knowledge management, machine learning, data mining, adaptive and intelligent robotics, knowledge-intensive processing on the Web, and social issues relevant to intelligent systems. Also encouraged are application features, covering practice at one or more companies or laboratories; full-length product stories (which require refereeing by at least three reviewers); tutorials; surveys; and case studies. Often issues are theme-based and collect articles around a contemporary topic under the auspices of a Guest Editor working with the EIC.