RESEARCH OF AIGC AND HUMAN ART PICTURE CREATION BASED ON PANOFSKY’S THREE-LEVEL ICONOLOGY FRAMEWORK

Abstract

This study investigates the narrative, symbolic, and cultural differences between AI-generated imagery (AIGC) and human-created realist artworks through Panofsky’s three-level iconology framework. The research identifies gaps in semantic logic, cultural depth, and symbolic coherence within AIGC outputs while establishing a systematic analytical model suitable for cross-method evaluation. By integrating qualitative iconological interpretation, computational visual analysis, and expert review, this paper contributes an evaluative paradigm that addresses contemporary challenges in AI-driven visual culture. Findings highlight significant fragmentation in narrative cohesion and symbolic misalignment in AIGC compared with human artworks, emphasizing the importance of cultural semantic grounding in future AI development.