Scientific Information Research
Keywords
artificial intelligence governance， AI regulation， LDA model， theme mining， cluster analysis， policy re‐ search
Abstract
[Purpose/ significance]This article conducts an in-depth exploration of international artificial intelligence (AI) regulatory policies and gains insights into the regulatory focuses and trends of various countries, with the aim of providing valuable references for global AI governance strategies. [Method/process]This paper applies the LDA topic clustering analysis method to conduct an in-depth study of twenty-seven international policy documents. The aim is to accurately identify the topics, analyze the key theme words, and further reveal the regulatory hotspots in the field of artificial intelligence. [Results/conclusion]The study reveals six core regulatory themes: systemic risk assessment, ethi‐ cal and legal regulation, social impact governance, transparency and trust, innovation and risk control, and global reg‐ ulatory strategies, and accordingly makes four policy recommendations.
Digital Object Identifier (DOI)
10.19809/j.cnki.kjqbyj.2025.03.007
Recommended Citation
MAO, Taitian and PENG, Yihe
(2025)
"Thematic Hotspots and Strategy Analysis of International AI
Regulatory Texts Based on LDA Models,"
Scientific Information Research: Vol. 7:
Iss.
3, Article 7.
DOI: 10.19809/j.cnki.kjqbyj.2025.03.007
Available at:
https://eng.kjqbyj.com/journal/vol7/iss3/7