人工智能关键核心技术创新能力测度体系构建：基于创新生态系统视角

突破关键核心技术是“十四五”时期我国建设世界科技强国面临的重要问题。人工智能作为科技变革的核心力量，科学合理地评价其技术创新能力，对提升我国科技竞争力具有重要意义。基于创新生态系统视角，从创新主体、创新环境和系统效益3个维度对我国人工智能关键核心技术创新能力进行测度。结果发现：①我国人工智能关键核心技术创新能力逐年增强，创新主体数量、企业研发资金、算法等成为主要影响因素。其中，创新主体数量对关键核心技术创新能力的影响高于资源投入；②基础研究在关键核心技术创新过程中扮演着举足轻重的角色；③算法、数据和算力是提升人工智能关键核心技术的三大显著性影响因素，其与该技术生命周期密切相关。我国应坚持创新导向，培育多元创新主体，持续鼓励算法研究，加快开放平台建设和技术标准制定，协调技术发展与治理的关系，实现我国在关键核心技术领域的突破。

Construction of Measurement System for Artificial Intelligence Core Technology Innovation Capability:From the Perspective of Innovation Ecosystem

Breaking through key core technologies is an important issue that China faces in building a strong country in science and technology during the "14th Five-Year Plan" period. Artificial intelligence as a core strength of technological change, scientific evaluation of its technical innovation ability, has great significance for Chinese scientific and technological competitiveness. Based on the perspective of the innovation ecosystem, this paper measures the innovation capability of Chinese key core technologies of artificial intelligence from the three dimensions of innovation subject, innovation environment and system benefits. The study found that Chinese key core technology innovation capabilities for artificial intelligence have been increasing year by year, with the number of innovative entities, corporate R&D funds, and algorithm foundation becoming the main influencing factors. Among them, the number of innovation subjects has a higher impact on key core technology innovation capabilities than resource input. At the same time, basic research plays a pivotal role in the process of core technology innovation. Finally, algorithms, data, and computing power are the three significant influencing factors that enhance the key core technologies of artificial intelligence, and these are closely related to the technology life cycle. China should adhere to the innovation orientation, cultivate diversified innovation subjects, continue to encourage algorithmic research, accelerate the construction of open platforms and the formulation of technical standards, coordinate the relationship between technological development and governance, and achieve breakthroughs in key core technologies.