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生成式人工智能对社交机器人的影响与治理对策

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[研究目的]生成式人工智能使作为社交媒体舆情传播核心的社交机器人具有更加强大的舆论操纵能力,且随着生成式人工智能的快速发展,社交机器人与人类在社交媒体中的活动更加难以区分,隐匿性更强,危害性更大,需要提早研究社交机器人的治理策略,以维护网络舆情安全和国家安全.[研究方法]结合生成式人工智能的特点,剖析了其对社交机器人操纵舆情能力的影响,采取"技术管控技术"的理念,提出基于生成式人工智能的社交机器人情报分析建模思路,在模型中增加向量数据库和本体推理,增强了模型的相似性检索、语义理解、多模态数据分析、动态数据更新以及少样本学习能力.[研究结论]通过将"大语言模型"和"知识图谱"进行深度融合,利用知识图谱中的知识减少大语言模型的"幻觉问题".同时,利用大语言模型完善和补全知识图谱,增强了对社交媒体情报信息的检索和应用能力.在社交迷雾演化全生命周期提高了对社交媒体舆情,特别是社交机器人的监测识别、感知预警、追踪溯源和研判管控能力.
The Influence of Generative Artificial Intelligence on Social Robots and Governance Countermeasures
[Research purpose]Generative artificial intelligence enables social robots,which are the core of public opinion communication in social media,to have more powerful ability to manipulate public opinion.With the rapid development of generative artificial intelli-gence,social robots and human activities in social media are more difficult to distinguish,more concealed and more harmful.It is necessary to study the governance strategy of social robots in advance to maintain the safety of online public opinion and national security.[Re-search method]Combined with the characteristics of generative artificial intelligence,this paper analyzes its influence on the ability of so-cial robots to manipulate public opinion,adopts the concept of"technical control technology",proposes the idea of intelligence analysis modeling of social robot based on generative artificial intelligence,and adds vector database and ontology reasoning to the model,enhan-cing the ability of similarity retrieval,semantic understanding,multi-modal data analysis,dynamic data updating and small sample learn-ing.[Research conclusion]Through the deep integration of"big language model"and"knowledge graph",the"illusion problem"of big language model is reduced by using the knowledge in the knowledge graph.At the same time,using the big language model to perfect and complete the knowledge graph,enhance the application ability of social media intelligence information retrieval.In the whole life cycle of the evolution of social fog,it improves the ability of monitoring and identification of social media public opinion,especially social ro-bots,sensing and early warning,tracking and tracing,research and judgment control.

generative artificial intelligencesocial robotsinformation fogvector databasesocial mediaknowledge map

邵雷、石峰

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四川警察学院 泸州 646000

生成式人工智能 社交机器人 信息迷雾 向量数据库 社交媒体 知识图谱

公安部科技计划(2023)教育部产学合作协同育人项目(2022)四川省智慧警务与国家安全风险治理重点实验室重点项目(2023)教育部产学合作协同育人项目(2022)

2023LL3522097162213239ZHZZZD230222097162212107

2024

10.3969/j.issn.1002-1965.2024.07.021

情报杂志
陕西省科学技术信息研究所

情报杂志

CSTPCDCSSCICHSSCD北大核心
影响因子：1.502
ISSN：1002-1965
年,卷(期)：2024.43(7)
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