场景驱动型人工智能创新生态系统:逻辑与进路

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Abstract The new generation of AI wave triggered by generative AI represented by ChatGPT has swept across the world,and has become a new opportunity of the new round of industrial revolution,a new focus of international competition,and a new engine of new-quality productivity.How to grasp the digital opportunity to accelerate AI innovation and landing has become the key to core technology breakthrough and competitive advantage construction.However,existing management research focuses on the governance of AI and its enabling value for innovation and development,while few scholars have explored new paradigms for AI technology innovation and application in response to practical dilemmas.Based on the theory of innovation ecosystem and rooted in China's AI industry practice,this paper applies the theory of context-driven innovation,discusses the theoretical foundation,architecture and characteristics of context-driven AI innovation ecosystems,and puts forward the logic and pathway of context-driven AI innovation flywheel and ecology cultivation.This provides important theoretical and policy insights for China to cultivate a world-class AI innovation and development ecosystem with Chinese characteristics,accelerate AI innovation,and build a new engine for new-quality productivity,thereby promoting high-quality development and Chinese modernization.

Key words： Context-driven innovation Artificial intelligence Innovation ecosystem National innovation system New-quality productivity

Received: 30 August 2023

PACS:	F272
	TP18

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	Articles by authors
	Yin Ximing
	Su Yaxin
	Chen Tailun
	Chen Jin
	Li Jizhen

Cite this article:

Yin Ximing,Su Yaxin,Chen Tailun, et al. Context-Driven AI Innovation Ecosystems:Logic and Pathways[J]. , 2024, 5(6): 35-45.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2024/V5/I6/35

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