Issue |
SHS Web Conf.
Volume 213, 2025
2025 International Conference on Management, Economic and Sustainable Social Development (MESSD 2025)
|
|
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Article Number | 02044 | |
Number of page(s) | 5 | |
Section | Social Development | |
DOI | https://doi.org/10.1051/shsconf/202521302044 | |
Published online | 25 March 2025 |
The Dilemma of Cross-Border Data Flow Governance in the AIGC Era and the Game of Rules in International Relations
Lingnan University, Hong Kong, China
* Corresponding author: Lyu_zhengge@163.com
With the rapid development of AIGC (Artificial Intelligence Generated Content) technology, global cross-border data flows have shown unprecedented growth trends in scale, speed, and complexity. However, the increase in cross-border data flows has also brought about severe governance challenges, especially in areas such as data privacy, data sovereignty, and national security, which are becoming increasingly prominent. This article explores the governance dilemma of cross-border data flows in the AIGC era and its game of rules in international relations. Firstly, this article reviews the current status of global data flow and the governance challenges it brings, analyzes the shortcomings of the existing international data governance framework, and explores the game of international powers in formulating data flow rules. Secondly, the article delves into issues such as data privacy protection, data sovereignty, and technological barriers, and explores the profound impact of AIGC on global data governance. Finally, this article proposes strategic recommendations for optimizing global data governance in the context of AIGC, emphasizing strengthening international cooperation, promoting rule coordination, and calling for the establishment of a more transparent, fair, and sustainable data governance system. This study provides a theoretical basis for the governance of cross-border data flows and serves as a reference for optimizing global data governance in the future.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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