  AI-generated content (AIGC) models, represented by large language models
(LLM), have brought revolutionary changes to the content generation fields. The
high-speed and extensive 6G technology is an ideal platform for providing
powerful AIGC mobile service applications, while future 6G mobile networks also
need to support intelligent and personalized mobile generation services.
However, the significant ethical and security issues of current AIGC models,
such as adversarial attacks, privacy, and fairness, greatly affect the
credibility of 6G intelligent networks, especially in ensuring secure, private,
and fair AIGC applications. In this paper, we propose TrustGAIN, a novel
paradigm for trustworthy AIGC in 6G networks, to ensure trustworthy large-scale
AIGC services in future 6G networks. We first discuss the adversarial attacks
and privacy threats faced by AIGC systems in 6G networks, as well as the
corresponding protection issues. Subsequently, we emphasize the importance of
ensuring the unbiasedness and fairness of the mobile generative service in
future intelligent networks. In particular, we conduct a use case to
demonstrate that TrustGAIN can effectively guide the resistance against
malicious or generated false information. We believe that TrustGAIN is a
necessary paradigm for intelligent and trustworthy 6G networks to support AIGC
services, ensuring the security, privacy, and fairness of AIGC network
services.
