Article Details

Abstract

Based on bibliometrics methods, this study systematically analyzes the evolutionary trajectory of global “AI + trust” research using 1 044 publications from the Web of Science Core Collection (2020—2024) and CiteSpace software. The analysis spans publication trends, institutional collaboration networks, author network maps, and keyword clustering. The key findings include that, firstly, a core group of authors has formed a tightly-knit collaboration network, effectively driving academic progress in this field. Secondly, the education sector emerges as a prominent application scenario with distinctive characteristics for “AI + trust” with the co-occurrence of high-frequency keywords such as “Generative AI” and “trust” highlighting current research hotspots. Finally, insufficient cross-domain collaboration and data privacy risks remain critical bottlenecks. This research provides theoretical support for constructing trustworthy AI technology systems.

Keywords

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

References

1. [1] MENON D，SHILPA K. “Chatting with ChatGPT”: Analyzing the Factors Influencing Users' Intention to Use the Open AI's ChatGPT Using the UTAUT Model [J/OL].Heliyon，2023，9（11）：e20962（2025-06-11）.https://www.cell.com/heliyon/fulltext/S2405-8440（23）08170-7?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2405844023081707%3Fshowall%3Dtrue.
2. [2] Hu Dengfeng, Huang Ziwei, Feng Nan, etc Breakthrough in Key Core Technologies and Path and Mechanism of Domestic Substitution: A Longitudinal Case Study of iFlytek Intelligent Voice Technology [J]. Management World, 2022, 38 (5): 188-209
3. [3] Kuang Lei Data Security Risks and Responsive Governance Strategies of Generative Artificial Intelligence [J]. Network Security Technology and Applications, 2025 (2): 57-59
4. [4] Liao Yong, Han Xiaojin, Liu Jinlin, etc Research progress on interpretable artificial intelligence [J/OL]. Computer Engineering, 2024:1-28 [2024-12-22] https://doi.org/10.19678/j.issn.1000-3428.0069925.
5. [5] ZHANG Q-S，ZHU S-C. Visual Interpretability for Deep Learning: A Survey [J].Frontiers of Information Technology & Electronic Engineering，2018，19（1）：27-39.
6. [6] HOFMANN H L，GUERRA G A，LE J L，et al. The Rapid Development of Artificial Intelligence: GPT-4's Performance on Orthopedic Surgery Board Questions [J].Orthopedics，2024，47（2）：e85-e89.
7. [7] LI Y Y，WANG H，JIN Q，et al. SnapFusion: Text-to-image Diffusion Model on Mobile Devices within Two Seconds [J/OL].arXiv:2306.00980 [cs.CV].（2023-06-01）.https://arxiv.org/abs/2306.00980.
8. [8] Yuan Gang, Liu Xiaojun Progress and Trend Analysis of Digital Engineering Research Based on Bibliometrics [J]. Computer Integrated Manufacturing Systems, 2024, 30 (3): 765-773
9. [9] Bai Li, Yu Nian, He Yu, Jiao Yang Application of Artificial Intelligence in General Practice Medicine: Bibliometric Analysis [J]. Journal of Peking Union Medical College, 2025, 16 (3): 687-696
10. [10] Ren Liqiang, Guo Qiang, Wang Haipeng, etc Visualization Analysis of Artificial Intelligence Literature Big Data Based on CiteSpace [J]. Computer System Applications, 2018, 27 (6): 18-26
11. [11] Lu Xianghua, Zou Yufeng Value enhancement mechanism and future research directions under the background of AI popularization: based on the perspective of sustained mutual trust between humans and machines [J]. Chinese Science Foundation, 2024, 38 (5): 867-875
12. [12] NIMMY S F，HUSSAIN O K，CHAKRABORTTY R K，et al. Quantifying the Trustworthiness of Explainable Artificial Intelligence Outputs in Uncertain Decision-making Scenarios [J/OL].Engineering Applications of Artificial Intelligence，2025，141：109678（2025-02-01）[2025-06-11].https://doi.org/10.1016/j.engappai.2024.109678.
13. [13] CATON S ，HAAS C. Fairness in Machine Learning: A Survey [J].ACM Computing Surveys，2024，56（7）：1-38.
14. [14] Qi Yue, Chen Junting, Qin Shaotian, etc Trust between humans and AI in the era of general artificial intelligence [J]. Advances in Psychological Science, 2024, 32 (12): 2124-2136
15. [15] Lv Jing, He Ping, Wang Yongfen, etc Bibliometric analysis of the research trend of ChatGPT in the medical field [J]. Journal of Medicine and Philosophy, 2024, 45 (7): 30-35
16. [16] CHEN C M，IBEKWE-SANJUAN F，HOU J H. The Structure and Dynamics of Cocitation Clusters: A Multiple-perspective Cocitation Analysis [J/OL].arXiv:1002.1985 [cs.CY].（2010-02-09）.https://arxiv.org/abs/1002.1985v1.
17. [17] ROUSSEEUW P J. Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis [J].Journal of Computational and Applied Mathematics，1987，20：53-65.
18. [18] Lin Baodeng The Current Status and Frontier Evolution of Higher Education Evaluation Research in China in the Past Decade: Visual Analysis Based on CiteSpace Knowledge Graph [J]. Journal of Southwest University for Nationalities (Humanities and Social Sciences Edition), 2022, 43 (5): 233-240
19. [19] Li Zeyu, Zhan Zhengzhe, Cheng Jiayi, etc Chinese Interpretation of Research Report Specification for Clinical Prediction Model Based on Artificial Intelligence (TRIPOD+AI) [J]. Chinese Journal of Evidence Based Medicine, 2025, 25 (3): 339-343
20. [20] Li Sujun, Yang Ting How can generative artificial intelligence empower internal governance in universities? [J] Modern Educational Technology, 2025, 35 (1): 44-52
21. [21] Wang Yao, Zhang Yijun, Nie Ying, etc Research on Carbon Emissions in the Construction Industry Based on Digital Technology: Bibliometric and Visual Analysis [J]. Industrial Building, 2023, 53 (S2): 32-37
22. [22] FREEMAN L C. A Set of Measures of Centrality Based on Betweenness [J].Sociometry，1977，40（1）：35-41.
23. [23] PRICE D D S. A General Theory of Bibliometric and other Cumulative Advantage Processes [J].Journal of the American Society for Information Science，1976，27（5）：292-306.
24. [24] CHOWDHURY G G. Introduction to Modern Information Retrieval [J].Information Management，2011，32（4-5）：373-374.
25. [25] Pei Rong Generative Artificial Intelligence Empowering Education and Teaching: Impact of Change, Risk Challenges, and Practical Paths [J]. Contemporary Education Forum, 2025 (2): 72-79
26. Ye Junmin, Yin Xinghan, Yu Shuang, etc Generative Artificial Intelligence Empowered Learning Analysis: Value Connotation, Practical Framework, and Development Path [J]. Research on Electronic Education, 2025, 46 (1): 86-92
27. [27] Yang Yang The Learning Revolution in the Era of Artificial Intelligence: A Review of "Artificial Intelligence Teaching - Exploring New Frontiers of Learning" [J]. Geography Teaching, 2024 (9): 1
28. [28] Fang Chao, Li Zhengfeng, Xue Ying, etc Research on the Innovation Path of Artificial Intelligence Technology Based on Comparative Analysis [J]. Chinese Engineering Science, 2020, 22 (4): 147-153
29. [29] Luo Jiahui Rethinking what "originality" means in the era of generative artificial intelligence: the role and purpose of higher education [J]. Tsinghua University Education Research, 2025, 46 (1): 79-85
30. [30] Yu Guoming, Teng Wenqiang, Wu Di Value Alignment: The Construction Path of Human Computer Trust Communication Model in the AIGC Era [J]. Educational Media Research, 2023 (6): 66-71
31. [31] Chen Huimin, Zhu Ziyi, Jin Jianbin Composite Framework, Mechanism, and Future Path of Generative Artificial Intelligence Trust from the Perspective of Knowledge Production [J]. Chinese Editor, 2024 (12): 60-69

Funding

Education Science Planning Project of Guizhou Province in 2024 (2024B062); 2023 Qiannan Prefecture "Unveiling the List and Leading the Way" Education and Research Project (2023B007)

About the authors

Wang Bingtong (2001-), female, Manchu, from Huludao, Liaoning Province, is currently pursuing a master's degree in modern educational technology; Corresponding author: Zhou Jincheng (1981-), male, Han ethnicity, from Kaiyang, Guizhou, professor, doctoral supervisor, PhD, research direction: modern educational technology, artificial intelligence; Zhou Jiaying (2002-), female, Han ethnicity, from Ganzhou, Jiangxi Province, is currently pursuing a master's degree in modern educational technology; Yan Na (2002-), female, Han ethnicity, Guizhou Daozhen, master's degree candidate, research direction: modern educational technology.