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

Research output: Contribution to conference › Paper › Research › peer-review

Standard

Data Governance in the Age of Large-Scale Data-Driven Language Technology. / Jernite, Yacine; Nguyen, Huu; Biderman, Stella; Rogers, Anna; Masoud, Maraim; Danchev, Valentin; Tan, Samson; Luccioni, Alexandra Sasha; Subramani, Nishant; Johnson, Isaac; Dupont, Gerard; Dodge, Jesse; Lo, Kyle; Talat, Zeerak; Radev, Dragomir; Gokaslan, Aaron; Nikpoor, Somaieh; Henderson, Peter; Bommasani, Rishi; Mitchell, Margaret.

2022. 2206-2222.

Research output: Contribution to conference › Paper › Research › peer-review

Harvard

Jernite, Y, Nguyen, H, Biderman, S, Rogers, A, Masoud, M, Danchev, V, Tan, S, Luccioni, AS, Subramani, N, Johnson, I, Dupont, G, Dodge, J, Lo, K, Talat, Z, Radev, D, Gokaslan, A, Nikpoor, S, Henderson, P, Bommasani, R & Mitchell, M 2022, 'Data Governance in the Age of Large-Scale Data-Driven Language Technology', pp. 2206-2222. https://doi.org/10.1145/3531146.3534637

APA

Jernite, Y., Nguyen, H., Biderman, S., Rogers, A., Masoud, M., Danchev, V., Tan, S., Luccioni, A. S., Subramani, N., Johnson, I., Dupont, G., Dodge, J., Lo, K., Talat, Z., Radev, D., Gokaslan, A., Nikpoor, S., Henderson, P., Bommasani, R., & Mitchell, M. (2022). Data Governance in the Age of Large-Scale Data-Driven Language Technology. 2206-2222. https://doi.org/10.1145/3531146.3534637

Vancouver

Jernite Y, Nguyen H, Biderman S, Rogers A, Masoud M, Danchev V et al. Data Governance in the Age of Large-Scale Data-Driven Language Technology. 2022. https://doi.org/10.1145/3531146.3534637

Author

Jernite, Yacine ; Nguyen, Huu ; Biderman, Stella ; Rogers, Anna ; Masoud, Maraim ; Danchev, Valentin ; Tan, Samson ; Luccioni, Alexandra Sasha ; Subramani, Nishant ; Johnson, Isaac ; Dupont, Gerard ; Dodge, Jesse ; Lo, Kyle ; Talat, Zeerak ; Radev, Dragomir ; Gokaslan, Aaron ; Nikpoor, Somaieh ; Henderson, Peter ; Bommasani, Rishi ; Mitchell, Margaret. / Data Governance in the Age of Large-Scale Data-Driven Language Technology.

Bibtex

@conference{69d65229466742f99823e09dd2b5101d,
title = "Data Governance in the Age of Large-Scale Data-Driven Language Technology",
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.",
keywords = "Faculty of Social Sciences, dataset, technology governance, data rights, language data",
author = "Yacine Jernite and Huu Nguyen and Stella Biderman and Anna Rogers and Maraim Masoud and Valentin Danchev and Samson Tan and Luccioni, {Alexandra Sasha} and Nishant Subramani and Isaac Johnson and Gerard Dupont and Jesse Dodge and Kyle Lo and Zeerak Talat and Dragomir Radev and Aaron Gokaslan and Somaieh Nikpoor and Peter Henderson and Rishi Bommasani and Margaret Mitchell",
year = "2022",
doi = "10.1145/3531146.3534637",
language = "English",
pages = "2206--2222",

}

RIS

TY - CONF

T1 - Data Governance in the Age of Large-Scale Data-Driven Language Technology

AU - Jernite, Yacine

AU - Nguyen, Huu

AU - Biderman, Stella

AU - Rogers, Anna

AU - Masoud, Maraim

AU - Danchev, Valentin

AU - Tan, Samson

AU - Luccioni, Alexandra Sasha

AU - Subramani, Nishant

AU - Johnson, Isaac

AU - Dupont, Gerard

AU - Dodge, Jesse

AU - Lo, Kyle

AU - Talat, Zeerak

AU - Radev, Dragomir

AU - Gokaslan, Aaron

AU - Nikpoor, Somaieh

AU - Henderson, Peter

AU - Bommasani, Rishi

AU - Mitchell, Margaret

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Faculty of Social Sciences

KW - dataset

KW - technology governance

KW - data rights

KW - language data

U2 - 10.1145/3531146.3534637

DO - 10.1145/3531146.3534637

M3 - Paper

SP - 2206

EP - 2222

ER -

ID: 346456359