Research on Human-Machine Collaborative Growth Framework based on Virtual Simulation

GOU Juan-qiong; ZHANG Fang-cong; ZHANG Xiao-wei; ZHANG Yan; WANG Zhe

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Journal of Beijing Jiaotong University（Social Sciences Edition） ›› 2023, Vol. 22 ›› Issue (3) : 50-63.

Applied Economics Studies

Research on Human-Machine Collaborative Growth Framework based on Virtual Simulation

GOU Juan-qiong¹, ZHANG Fang-cong¹, ZHANG Xiao-wei¹, ZHANG Yan¹, WANG Zhe²

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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

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GOU Juan-qiong, ZHANG Fang-cong, ZHANG Xiao-wei, ZHANG Yan, WANG Zhe. Research on Human-Machine Collaborative Growth Framework based on Virtual Simulation[J]. Journal of Beijing Jiaotong University（Social Sciences Edition）. 2023, 22(3): 50-63

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