Data Governance in the Age of Large-Scale Data-Driven Language Technology

TL;DR

This paper proposes a comprehensive international framework for managing language data in the era of large-scale language models, emphasizing transparency, stakeholder collaboration, and value-based governance.

Contribution

It introduces a novel multi-party governance structure for language data, integrating technical and organizational tools grounded in global collaboration.

Findings

Developed a multi-party international governance framework

Incorporated human values into data management strategies

Supported stakeholders with organizational and technical tools

Abstract

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.