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

Anna Rogers; Timothy Baldwin; Kobi Leins

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

Anna Rogers, Timothy Baldwin, Kobi Leins

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

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.

Original language	English
Title of host publication	Findings of the Association for Computational Linguistics: EMNLP 2021
Number of pages	13
Place of Publication	Punta Cana, Dominican Republic
Publisher	Association for Computational Linguistics
Publication date	1 Nov 2021
Pages	4821-4833
Publication status	Published - 1 Nov 2021

Keywords

NLP ethics
Data responsibility
Textual data collection
Peer review standardization
Ethical principles in data sharing

Access to Document

https://aclanthology.org/2021.findings-emnlp.414/

Cite this

@inproceedings{5d04b14aacd04e10b14909f37d76458b,

title = "Just What Do You Think You're Doing, Dave? A Checklist for Responsible Data Use in NLP",

abstract = "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.",

keywords = "NLP ethics, Data responsibility, Textual data collection, Peer review standardization, Ethical principles in data sharing, NLP ethics, Data responsibility, Textual data collection, Peer review standardization, Ethical principles in data sharing",

author = "Anna Rogers and Timothy Baldwin and Kobi Leins",

year = "2021",

month = nov,

day = "1",

language = "English",

pages = "4821--4833",

booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",

publisher = "Association for Computational Linguistics",

address = "United States",

}

Just What Do You Think You're Doing, Dave? A Checklist for Responsible Data Use in NLP. / Rogers, Anna; Baldwin, Timothy; Leins, Kobi.
Findings of the Association for Computational Linguistics: EMNLP 2021. Punta Cana, Dominican Republic: Association for Computational Linguistics, 2021. p. 4821-4833.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - Just What Do You Think You're Doing, Dave? A Checklist for Responsible Data Use in NLP

AU - Rogers, Anna

AU - Baldwin, Timothy

AU - Leins, Kobi

PY - 2021/11/1

Y1 - 2021/11/1

N2 - 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.

AB - 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.

KW - NLP ethics

KW - Data responsibility

KW - Textual data collection

KW - Peer review standardization

KW - Ethical principles in data sharing

KW - NLP ethics

KW - Data responsibility

KW - Textual data collection

KW - Peer review standardization

KW - Ethical principles in data sharing

M3 - Article in proceedings

SP - 4821

EP - 4833

BT - Findings of the Association for Computational Linguistics: EMNLP 2021

PB - Association for Computational Linguistics

CY - Punta Cana, Dominican Republic

ER -

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

Abstract

Keywords

Access to Document

Fingerprint

Cite this