全球“Al+ 信任”的研究热点与展望

——基于文献计量学的动态分析

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中图分类号：TP39；TP18 文献标识码：A 文章编号：2096-4706（2026）05-0015-08

Research Hotspots and Prospects ofGlobal “Al + Trust" 一ADynamic Analysis Based on Bibliometrics

WANG Bingtong， ZHOU Jincheng， ZHOU Jiaying，YAN Na （SchoolofComputerand Information，QiannanNormal UniversityforNationalities，Duyun558ooo，China）

Abstract： Basedon bibliometrics methods，this study systematically analyzes the evolutionary trajectory of global *AI+ trust”research using 1044publications from the Webof Science Core Collection （2020-2024）and CiteSpace software.The analysis spanspublicationtrends，institutional collaboration networks，author network maps，and keyword clustering.The key findingsincludethatfirstlyacoregroupofauthorshasfomedatightly-nitcollaboationnetworkeffectivelydrivingacademic progressinthisfield.Secondly，theeducationsectoremergesasaprominentapplicationscenariowithdistinctivecharacteristics for“AI + trust”withthe co-occurence of high-frequency keywords such as“Generative AI”and“trust”highlighting curentesarchspts.iallsuintosomincollaoraionandatapiacyssialottes research provides theoretical support for constructing trustworthy AI technology systems.

Keywords：Artificial Intelligence;trust mechanism; Generative AI; bibliometrics; educational technology

0 引言

时至今日，AI技术正从单一的语言模型向多模态感知转型，能够同时处理文本、图像、音频等多种信息。（剩余13547字）