Abstract:

Tracing the developmental trajectory and characteristics of Artificial Intelligence Generated Content（AIGC）, this article proposes that the generation paths of AIGC and Human Generated Content（HGC）are driven by the “knowledge world” and the “three worlds”, respectively. Subsequently, a comparative analysis of the similarities and differences between AIGC and HGC is conducted from the perspectives of content acquisition, content comprehension and cognition, content application and transformation, and content creation and expression. The findings reveal that AIGC is limited by a singular source of content acquisition and a lack of “factuality” in its generated content. However, it surpasses human capabilities in content comprehension, cognition, application, and transformation, demonstrating strong capacities for imitative innovation and recombinant innovation. These attributes enable AIGC to play a significant role in specific domains of content creation. Finally, the article argues that the debate over the substitution of HGC by AIGC is context-dependent and conditional. The deficiency of “factuality” in AIGC may also be subject to adjustment. In this context, the content industry is called upon to adopt differentiated and phased strategies in response.