基于虚拟仿真模拟的人机协同成长框架研究

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Abstract While the deep integration of digital technology and the real economy has provided efficient decision-support solutions during the 14th Five-Year Plan period， it has also brought new problems and challenges to organizational management. From the perspective of introducing artificial intelligence as a new technology into organizations， this paper simulates the dynamic process of introducing artificial intelligence （AI） into enterprise organizations through virtual simulation experiments， and proposes a research framework for human-machine collaborative growth based on the action design research （ADR） method， which compares the evolution process and characteristics of human-machine collaborative growth in four aspects： human-machine trust， human-machine division of labor， human-machine collaboration， and human-machine symbiotic growth. The research shows that the key premise of human-machine collaborative growth is to establish human-machine trust， and the key content is the division of labor and collaboration between human and AI. New AI technology development will change the human-machine division of labor and generate AI optimization demand， which can help form a higher quality human-machine collaborative relationship through continuous demand reconstruction and multiple iterations. In order to help enterprises complete the “digital intelligence” innovation and transformation， we should establish human-machine trust by improving the visibility， interpretability and transparency of AI as much as possible； we should focus on human-machine task division， human-machine task efficiency and human-machine information interaction to realize human-machine collaboration； we should resolve conflicts of human-machine division of labor， human-machine trust crisis and human-machine iteration optimization to promote human-machine collaborative growth； and ultimately an efficient and agile intelligent organization will emerge with long-term synergistic growth of human and AI in the context of VUCA.

Key words： human-machine collaboration virtual simulation platform enterprise digital intelligence artificial intelligence simulation research

Received: 08 December 2022

PACS:

C931

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	Articles by authors
	GOU Juan-qiong
	ZHANG Fang-cong
	ZHANG Xiao-wei
	ZHANG Yan
	WANG Zhe

Cite this article:

GOU Juan-qiong,ZHANG Fang-cong,ZHANG Xiao-wei等. Research on Human-Machine Collaborative Growth Framework based on Virtual Simulation[J]. journal6, 2023, 22(3): 50-63.

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https://xbsk.bjtu.edu.cn/EN/ OR https://xbsk.bjtu.edu.cn/EN/Y2023/V22/I3/50

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