CLAISep 14, 2021

Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP

arXiv:2109.06598v1666 citations
Originality Synthesis-oriented
AI Analysis

This addresses the need for ethical and legal standards in data handling for the NLP community, but it is incremental as it builds on existing discussions without introducing new methods.

The paper tackles the lack of clarity in responsible data use in NLP by proposing a checklist to standardize peer review and enhance transparency in research, aiming for adoption across NLP conferences.

A key part of the NLP ethics movement is responsible use of data, but exactly what that means or how it can be best achieved remain unclear. This position paper discusses the core legal and ethical principles for collection and sharing of textual data, and the tensions between them. We propose a potential checklist for responsible data (re-)use that could both standardise the peer review of conference submissions, as well as enable a more in-depth view of published research across the community. Our proposal aims to contribute to the development of a consistent standard for data (re-)use, embraced across NLP conferences.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes