Work

Research Status and Prospects of Generative AI Governance in China Based on Visual Analysis

Year: 2025

Type: conference-paper

Abstract: The data in this paper comes from CNKI, the Chinese literature database. This paper researched papers from 2015 to 2024 on Chinese generative AI governance in this database. With the help of the visualization software Citerspace and VOSviewer, the paper conducts data processing and visualization analyses from annual publication volumes, main agencies, core authors, and keyword trends. The paper studied the conditions and future perspectives of the Chinese generative AI governance studies. Our study shows that the paper volumes of this field are witnessing a rising trend. The research mainly aims at digital security as the key research topic; AI algorithms in technical difficulty-related topics; agile governance, risk governance, digital governance, technical governance, comprehensive governance, and global governance as solution-related topics. Trends in this field are becoming more diverse in governance fields and patterns. National security is becoming more and more important macroscopically. As for governance tools, papers focus more on the development of legal regulations. Microly, papers pay attention more to the privacy and security of personal information.

Source: Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI)

DOI: 10.1145/3745238.3745397

Authors: Jian Sun, Shuyi Wang, Runnan Zhang

Institution: Guangdong University of Science and Technology

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: hybrid

Funder: Guangdong University of Science and Technology