This article proposes Text and Image Studies as a humanities framework for interpreting the cultural and societal implications of artificial intelligence-generated content (AIGC). As generative AI systems produce text, images, and multimodal artefacts at unprecedented scale, they challenge established concepts of authorship, intentionality, and meaning. Existing discussions have been led predominantly by technical, legal, or ethical perspectives; comparatively little attention has been given to how humanities scholars may analyse AI-generated artefacts as culturally meaningful forms. The article develops three central claims. First, AIGC should be understood not simply as technical output but as a new kind of cultural artefact whose meaning emerges through the interaction of textual, visual, and procedural layers. Second, Text and Image Studies offers a structured approach to analysing such artefacts through relational interpretation, genealogical tracing, and contextual analysis. Third, this framework carries social significance by clarifying how generative AI reshapes cultural production, epistemic trust, and the humanities' role in an age of automated abundance. By repositioning Text and Image Studies within the context of generative AI, this article contributes to current debates through a humanities-based mode of interpretation that is historically grounded, culturally sensitive, and attentive to the social consequences of machine-generated meaning.
Lo-fen I (Tue,) studied this question.