Smart Decentralized Autonomous Organizations and Operations for Smart Societies: Human-Autonomous Organizations for Industry 5.0 and Society 5.0

Xiao Wang, Yutong Wang, Mariana Netto, Larry Stapleton, Zhe Wan, Fei Yue Wang

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)70-74
Number of pages5
JournalIEEE Intelligent Systems
Volume38
Issue number6
DOIs
Publication statusPublished - 01 Nov 2023

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