生成式AI与领域专家协同的科技情报分析模式研究OACHSSCD

[Purpose]This study aims to analyze the internal logic and adaptive mode of the collaborative analysis of scientific and techno-logical intelligence between generative AI and domain experts,so as to facilitate the mining of high-value scientific and technological in-telligence,thereby empowering scientific decision-making and industrial innovation.[Method]By comprehensively using literature analy-sis and theoretical modeling methods,this study deeply dissects the theoretical characteristics of basic elements including generative AI,scientific and technological intelligence analysis,and the role of domain experts,which may systematically construct the logical framework and operational mechanism for the collaborative analysis of scientific and technological intelligence by"generative AI+domain experts".[Result/Conclusion]This study indicates that the collaboration between generative AI and domain experts essentially represents the com-plementary integration of explicit and tacit knowledge,achieving a dynamic balance between data-driven approaches and experience-guided decision-making,thereby enabling bidirectional empowerment of machine computing power and human intelligence.The collabo-rative process relies on three core mechanisms:dynamic task allocation,knowledge iterative evolution,and quality closed-loop feedback,forming an intelligent analysis system with mutual gain between humans and machines.Based on the full life cycle process of"demand definition-data collection-data processing-in-depth analysis-achievement application-feedback optimization",the specific path of collab-oration between generative AI and domain experts is clarified,providing a paradigm reference for the innovative development of scientific and technological intelligence analysis in the AI era.