Advanced Development and Applications of AI-Generated Content (AIGC)

Dear Colleagues,

The rapid evolution of Artificial Intelligence Generated Content (AIGC), particularly driven by large-scale multimodal models, is transforming the way we create, interact with, and consume digital content. From technical architectures to user-centric applications, AIGC has shown immense potential across a wide range of domains—such as automated media production, smart design tools, Artificial Intelligence (AI)-powered content platforms, and even digital behavioral interactions. This Topic seeks to explore both the technical foundations and societal implications of AIGC. We aim to collect contributions that not only propose novel algorithms, models, and systems, but also analyze how these technologies impact human behavior, communication, and digital culture. We welcome submissions from various perspectives, including engineering, computer science, information systems, behavioral sciences, and interdisciplinary studies.

Topics of interest include, but are not limited to the following:

• New architectures and frameworks for AIGC systems;
• Multimodal content generation: text, image, audio, video, and 3D;
• Development and deployment of large-scale multimodal foundation models;
• Human-AI collaboration and user perception in AIGC environments;
• AIGC applications in engineering, media, education, and intelligent systems;
• Behavioral and psychological impacts of interacting with AI-generated content;
• Information dissemination, trust, and ethics in AI-powered content ecosystems;
• Privacy, security, and copyright challenges in AIGC.

We particularly encourage work that bridges theory and practice, technology and society, and algorithm and application. Researchers and practitioners from academia, industry, and public sectors are warmly invited to contribute.

Prof. Dr. Bolong Zheng
Dr. Qing Xie
Dr. You Li
Topic Editors