人工智能深度融入科技创新的企业科研新范式及策略研究

Study on the New Paradigms and Strategies of Enterprise Scientific Research and Strategies in the Context of the Deep Integration of Artificial Intelligence (AI) into Scientific and Technological Innovation

摘要: 科学研究的演进轨迹，清晰呈现了从经验、理论、计算到数据范式迭代，当前，这一进程正迈入由人工智能技术主导的第五科研范式AI for Science (简称AI4S)。本文围绕人工智能深度融入科技创新的科研新范式展开研究，系统梳理科研范式演进过程，深入剖析各阶段科研活动的核心特征及科研范式发展规律和趋势预测；分析人工智能在科技创新中应用现状并总结AI赋能科研的主要路径，进一步构建融合人工智能的企业科研新范式概念框架，界定新范式的定义、内涵与运行逻辑，提出科研智能双引擎模型，深度解析科研流程与AI的双向交互机制。最后，从完善科研管理架构、建立人才体系、搭建技术支撑平台、优化资源配置四方面，提出企业科研新范式落地策略。

Abstract: The evolutionary trajectory of scientific research clearly manifests the paradigm iteration, evolving from empirical science, theoretical science, computational science to data-intensive science. Currently, this progression is advancing into the fifth research paradigm—AI for Science (AI4S). This paper centers on the new research paradigm where AI is deeply integrated into technological innovation. It systematically combs through the evolutionary process of research paradigms, conducts an in-depth analysis of the core characteristics of research activities at each stage, as well as the developmental laws and trend projections of research paradigms. Moreover, it assesses the current application status of AI in technological innovation and summarizes the primary pathways through which AI empowers scientific research. Furthermore, the paper constructs a conceptual framework for the new corporate research paradigm integrated with AI, defines the definition, connotation and operational logic of this new paradigm, proposes a “Dual-Engine Model for Intelligent Scientific Research”, and conducts an in-depth interpretation of the bidirectional interaction mechanism between scientific research and AI. Finally, from four dimensions—refining the research management architecture, establishing a talent system, constructing a technical support platform, and optimizing resource allocation—it puts forward strategies for the implementation of the new corporate research paradigm.