A global AI community requires language-diverse publishing
Abstract
In this provocation, we discuss the English dominance of the AI research community, arguing that the requirement for English language publishing upholds and reinforces broader regimes of extraction in AI. While large language models and machine translation have been celebrated as a way to break down barriers, we regard their use as a symptom of linguistic exclusion of scientists and potential readers. We propose alternative futures for a healthier publishing culture, organized around three themes: administering conferences in the languages of the country in which they are held, instructing peer reviewers not to adjudicate the language appropriateness of papers, and offering opportunities to publish and present in multiple languages. We welcome new translations of this piece. Please contact the authors if you would like to contribute one.
Cite
@article{arxiv.2408.14772,
title = {A global AI community requires language-diverse publishing},
author = {Haley Lepp and Parth Sarin},
journal= {arXiv preprint arXiv:2408.14772},
year = {2024}
}
Comments
Translations by Tianyu M. Fang (Mandarin Chinese), Michael Hardy (Guarani), Vandana Sarin and Vivek Sarin (Hindi), Roshna Omer Abdulrahman (Soran\^i Kurdish), Gabriel Poesia (Portuguese), and Mat\'ias Grinberg (Spanish). In the proceedings of the Global AI Cultures Workshop at the Twelfth International Conference on Learning Representations (ICLR) 2024, Vienna, Austria, May 7-11, 2024