场景驱动型人工智能创新生态系统:逻辑与进路被引量：6

Context-Driven AI Innovation Ecosystems:Logic and Pathways

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摘要以ChatGPT为代表的生成式人工智能所引发的新一代AI浪潮席卷全球,已然成为产业革命新机遇、国际竞争新焦点和新质生产力发展新引擎。如何把握数智化新机遇,加速推动AI技术创新和应用落地,成为国家竞争优势建构的关键。然而,现有研究多关注AI的治理及其使能价值,鲜有学者针对实践困境,探索适用于AI技术创新与应用的创新体系新模式。本文结合创新生态系统和场景驱动创新理论,扎根中国AI产业实践,论述场景驱动型人工智能创新生态系统的理论基础、架构和特征,提出场景驱动人工智能创新飞轮构建与生态培育的逻辑和进路,为培育中国特色、世界一流的AI创新生态,加速AI技术创新与应用、培育新质生产力的新动能,进而扎实推进高质量发展和中国式现代化提供有益的理论和政策启示。 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.

作者尹西明苏雅欣陈泰伦陈劲李纪珍 Yin Ximing;Su Yaxin;Chen Tailun;Chen Jin;Li Jizhen(School of Management,Beijing Institute of Technology,Beijing 100081,China;Research Center for Technological Innovation,Tsinghua University,Beijing 100084,China;School of Management,Zhejiang University,Hangzhou 310058,China;School of Economics and Management,Tsinghua University,Beijing 100084,China)

机构地区北京理工大学管理学院清华大学技术创新研究中心浙江大学管理学院清华大学经济管理学院

出处《中国科技论坛》 CSSCI 北大核心 2024年第6期35-45,共11页 Forum on Science and Technology in China

基金国家自然科学基金青年项目“多层次系统视角下中国高校学术创业与成果转化促进机制研究”(72104027) 教育部党的二十大精神专题研究“提升国家创新体系整体效能研究”(23JD20080) 北京社科基金决策咨询项目“北京市创新军民融合科技成果转化机制研究”(22JCC074) 中石油发展战略与科技基础工作决策支持研究项目“科技创新政策制度和管理机制研究”(2023DQ0110)。

关键词场景驱动创新人工智能创新生态系统国家创新体系新质生产力 Context-driven innovation Artificial intelligence Innovation ecosystem National innovation system New-quality productivity

分类号 F272 [经济管理—企业管理] TP18 [自动化与计算机技术—控制理论与控制工程]

作者简介尹西明(1991-),男,河南平顶山人,北京理工大学管理学院副研究员,硕士生导师,北京市哲学社会科学研究基地北京理工大学融合发展研究中心副主任、特聘研究员,研究方向为技术创新与数字创新管理,科技成果转化与科技政策;通信作者:陈泰伦。