人工智能在统战工作中的应用探讨和制度构建

The Application and Mechanism Construction of Artificial Intelligence in United Front Work

统战领域加强人工智能逻辑性推演能力和对重复劳动的有效替代优势,可简化统战数据收集、整理过程中的重复工作,而借助人工智能技术的深度学习技术,可以促进统战工作的数据整理工作从传统的事后、被动、单线的数据收集方式向事前、主动、全面的数据挖掘转型,实现对统战对象精准的数据画像和分类,提升统战工作的针对性,进而实现对统战对象行为的动态预测。该文围绕统战工作目标和价值体系,提出人工智能在统战领域中的技术架构和制度构建。在对人工智能技术特点分析的基础上,对人工智能技术在统战工作中的重点应用领域、作用机制、现实局限和制度构建提出创新性设想,为统战领域的技术创新实践提供新的选择和方向。

United Front Work can make use of the advantages of artificial intelligence which excels at logic and reasoning and can replace the repeated labor.In this way,it can simplify the work of data collection and categorization.Through the means of deep learning,the traditional data sorting can be turned from hysteretic,passive and single-track to ahead of time,active and comprehensive mode.In this way,accurate images and data can be collected,which will help to improve the pertinence of united front work and achieve a dynamic prediction for the subjects.This paper,centering on the objectives and value systems of united front work,puts forward the technical framework and system construction of artificial intelligence.Based on the features of artificial intelligence,this paper points out the key areas,mechanisms,limitations and technical frameworks of how artificial intelligence can be applied in united front work,which serves as new alternatives and directions for the technical innovation practice in united front work.