Applied Economics Studies
GOU Juan-qiong, ZHANG Fang-cong, ZHANG Xiao-wei, ZHANG Yan, WANG Zhe
journal6.
2023, 22(3):
50-63.
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.