World Wide Models: Literary Tools for Cultural AI
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Abstract (arXiv)
LLMs stage a new form of cultural encounter that is massive, automated, and monolingual. Literary disciplines have always negotiated cultural struggles with comparative reading of literature, narratological and poetic analysis, critical theory, world literature, and translation. These tools have now become indispensable for building culturally literate AI. The essay develops a layered framework toward more nuanced textual models and pluralistic interpretations of AI, emphasizing the natural intersections of literature and AI development, connecting current debates in critical theory with structural monolingualism, and suggesting a new application of world literature approaches to address global AI textuality through macrostructure, circulation, and untranslatability.
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References · 11
- 2018Datasheets for Datasetscited by 1,371
- 2021Algorithmic Monoculture and Social Welfarecited by 98
- 2022Language Contamination Helps Explain the Cross-lingual Capabilities of English Pretrained Modelscited by 90
- 2022Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?cited by 89
- 2023Machine Culturecited by 55
- 2025The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating Itcited by 42
- 2023Lost in Translation: Large Language Models in Non-English Content Analysiscited by 34
- 2023Experimental Narratives: A Comparison of Human Crowdsourced Storytelling and AI Storytellingcited by 26
- 2025SEA-LION: Southeast Asian Languages in One Networkcited by 17
- 2026Computational Hermeneutics: Evaluating generative AI as a cultural technologycited by 7
- 2026The AI Fiction Paradoxcited by 2
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