基于CiteSpace的人工智能信任研究热点与演进路径可视化分析

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（山东理工大学管理学院，山东淄博255012）

中图分类号：TP18

文献标识码：A 文章编号：2096-4706（2026）06-0076-06

Visualization Analysis of Research Hotspots and Evolution Paths of Artificial Intelligence Trust Based on CiteSpace

GUAN Donghe （School ofManagement， ShandongUniversity of Technology，Zibo 255012， China）

Abstract：Tosystematicallysortout theresearch hotspotsandevolution paths inthe feldof ArtificialIntelligence （AI） trust，breakdowntheeyestrictivefactorsforteevelopmentoftisfeldndprovidereerecesforubseuentttical research，technologyresearchanddevelopment，and policyformulation，thisstudytakesrelevantliterature fromtheWebof Science Core Colection assamples，and adopts the CiteSpace visualization analysis method.Byseting aspecificretrieval strategy，thisstdycarriesoutanalysisfromthedimensionsofpublicationvolume，disiplinedistribution，cooperationnetwork， keywordco-occurrence and clusteringafterdeduplicationvia CiteSpace and manualscreening.The analysis results showthatthe publicationvueintisfeldpresentsnepontialgowthtrn，andtreeoremoules，amelythicalspportdical aplicationandsocial interaction，arefomed.Theresearch focusshiftsfromtheunderlyingexplorationofearlytechologies tothe implementationofapplicationscenariosandthedeepeningofuser interaction，andemerging technologiessuchaslarge language models becomeanewresearch direction inrecent years.The visualizationresearch presents the knowledge structure anddevelopment lawofthefield，andhelps topromote thecontinuous innovationofAItechnologyonatrustedtrack.

Keywords：AI trust; CiteSpace; research hotspot; evolutionary path; visualization analysis

0 引言

在数字化浪潮的强力推动下，人工智能（AI）已全方位融入社会运转的各个环节，从智能交通优化出行效率，到医疗诊断辅助精准治疗，再到线上社区的智能交互，其应用的广度与深度不断拓展。（剩余8335字）