基于供需理论的生成式人工智能赋能情报工作范式模型构建与应用研究

Research on the Construction and Application of Generative Artificial Intelligence Based on Supply and Demand Theory to Empower Intelligence Work Paradigm

[目的/意义]当前生成式人工智能的发展对社会产生了强烈冲击。为响应国家创新发展的迫切需求,如何利用生成式人工智能更好地完成情报工作,以满足用户的情报需求,已成为当前情报学领域关注的热点问题。[方法/过程]基于供需理论提出从数据供给侧(Supply)、智慧情报分析中台(Analysis)、情报需求侧(Demand)三方构建生成式人工智能赋能情报工作范式模型——SAD范式模型,深入分析生成式人工智能赋能情报工作机理,并结合国际前沿项目案例探讨生成式人工智能与情报工作的前瞻性融合发展。[结果/结论]生成式人工智能赋能情报工作范式模型SAD,可以更好地促进生成式人工智能赋能情报工作的各个环节,提高情报工作效率,为情报工作范式研究提供了新思路。

[Purpose/significance]The current development of generative AI has had a strong impact on society.In response to the urgent needs of national innovation and development,how to use generative artificial intelligence to better complete intelligence work to meet the intelligence needs of users has become a hot issue in the field of information science.[Method/process]Based on the theory of supply and demand,this paper proposes to construct a paradigm model of generative AI-enabled intelligence work from the data supply side(Supply),intelligent intelligence analysis middle platform(Analysis)and intelligence demand side(Demand),and the SAD paradigm model is proposed,and the mechanism of generative AI-enabled intelligence work is deeply analyzed,and the forward-looking integration and development of generative AI and intelligence work are discussed in combination with international cutting-edge project cases.[Result/conclusion]The generative AI-enabled intelligence work paradigm model SAD can better promote all aspects of generative AI-enabled intelligence work,improve the efficiency of intelligence work,and provide new ideas for the research of intelligence work paradigm.