The recent emergence and adoption of Machine Learning technology, and
specifically of Large Language Models, has drawn attention to the need for
systematic and transparent management of language data. This work proposes an
approach to global language data governance that attempts to organize data
management amongst stakeholders, values, and rights. Our proposal is informed
by prior work on distributed governance that accounts for human values and
grounded by an international research collaboration that brings together
researchers and practitioners from 60 countries. The framework we present is a
multi-party international governance structure focused on language data, and
incorporating technical and organizational tools needed to support its work.

本文提出了一种全球语言数据治理的方法，该方法旨在将数据管理围绕利益相关者、价值观和权利组织起来。我们的提议基于分布式治理的先前工作，并通过来自 60 个国家的研究员和实践者的国际研究合作进行了支撑。我们提出的框架是以语言数据为重点的多方国际治理结构，并纳入支撑其工作所需的技术和组织工具。