New framework proposes 'World Wide Models' for culturally literate AI

A new essay proposes "World Wide Models" as a framework for developing culturally literate AI, drawing on literary analysis and world literature approaches. The paper argues that current large language models (LLMs) represent a massive, automated, and largely monolingual form of cultural encounter. It suggests that by integrating comparative reading, narratological analysis, and critical theory, AI development can move towards more nuanced textual models and pluralistic interpretations, addressing issues like structural monolingualism and global AI textuality. AI

IMPACT Proposes a new framework for developing AI that is more culturally aware and less monolingual.

RANK_REASON The item is an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• alphaXiv
• arXiv
• Bibliographic Explorer
• CatalyzeX Code Finder for Papers
• Connected Papers
• CORE Recommender
• Cultural AI
• DagsHub
• Gotit.pub
• Hugging Face
• Influence Flower
• Litmaps
• LLMs
• ScienceCast
• scite Smart Citations
• World Wide Models

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →