发表机构
Beijing Institute of Computer Technology and Applications; School of Cyberspace Science and Technology, Beijing Institute of Technology; School of Computer and Communication Engineering, University of Science and Technology Beijing; Beijing Engineering Research Center for Cyberspace Data Analysis and Applications（北京计算机技术及应用研究所; 北京理工大学网络空间安全学院; 北京科技大学计算机与通信工程学院; 北京网络空间数据分析与应用工程技术研究中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究人工智能与创新生态系统的关系，综合IE概念框架，引入AIIE概念，用进化视角分析AI在AIIE不同阶段作用，通过实例验证其定义及发展，最后审视AIIE未来挑战，为其发展确定新研究方向。
AI 中文摘要
创新生态系统（IE）的发展为经济整合、协同进步和共享成果提供了新范式。人工智能（AI）的兴起极大加速了全球数字化、信息化和智能化进程。探讨AI如何利用自身特性影响IE发展轨迹值得深入研究。鉴于AI在IE中日益突出的地位和作用，本文分析这种新形式，考察其对IE的独特贡献与潜在挑战。首先综合IE的概念框架并分解到物理、社会和思维空间的表现形式；从空间视角引入人工智能创新生态系统（AIIE）概念并探究AI赋予IE的特性；接着用进化视角分析AI在AIIE不同发展阶段的作用；然后通过企业发展实例验证AIIE定义的可行性、有效性和合理性，并从进化角度分析其发展；最后鉴于AI的固有局限，从四个角度审视AIIE未来面临的潜在挑战，旨在为其进一步发展确定新研究方向。
英文摘要
The development of the Innovative Ecosystem (IE) presents a new paradigm for economic integration, collaborative advancement, and shared achievements. The rise of Artificial Intelligence (AI) has significantly accelerated the global processes of digitization, informatization, and intelligence. Exploring how AI can leverage inherent characteristics to influence the development trajectory of IE is a topic that warrants further investigation. Given AI's increasing prominence and role within IE, the paper analyzes this new form, examining both AI's unique contributions to IE and its potential challenges. Firstly, the paper synthesizes the conceptual frameworks surrounding IE, decomposing them into manifestations in physical, social, and thinking spaces. Furthermore, the concept of Artificial Intelligence IE (AIIE) is introduced from a spatial perspective, with an exploration of the characteristics AI contributes to IE. Subsequently, the paper employs an evolutionary perspective to analyze the roles provided by AI during different development periods of AIIE. The paper then verifies the feasibility, effectiveness, and rationality of the AIIE's definition and analyzes AIIE development from an evolutionary perspective using enterprise development examples. Finally, acknowledging AI's inherent limitations, the paper examines potential challenges facing AIIE in the future from four perspectives, aiming to identify new research avenues for the further development of AIIE.
