Abstract:

The Generative Artificial Intelligence (GAI) model profoundly affects fields such as information dissemination, content creation, and social interaction, but also brings a series of security challenges such as data privacy breaches, false content generation, and intellectual property protection. By exploring the security risks and corresponding governance strategies of GAI at the current stage, this paper hopes to provide reference for the sustainable and healthy development of this technology. Firstly, this paper analyzes various security challenges caused by the development of GAI technology. Secondly, this paper discusses typical security issues of GAI, including data security and privacy, model abuse, algorithm stability, and the reasons why GAI technology can be maliciously attacked in text generation, image recognition, and other areas. Finally, this paper explores the establishment of a multi-level GAI security governance framework, including technical, organizational, and social layers, as well as secure, controllable, and reliable governance strategies and specific governance paths. Through collaborative governance by artificial intelligence enterprises, academia, government regulatory departments, and the public, this paper aims to enhance the overall society’s awareness and response capabilities to GAI security.

Key words: generative artificial intelligence, data privacy, false content regulation, technological governance approaches, security assessment framework