Literary disciplines offer practical tools for making AI systems more culturally literate and pluralistic, moving beyond the monolingual, automated cultural encounters that current LLMs create.
This essay argues that literary analysis methods—comparative reading, narratology, critical theory, and world literature approaches—are essential for building culturally aware AI systems.