Building legal datasets

Author

Jerrold SOH, Singapore Management UniversityFollow

Publication Type

Working Paper

Version

acceptedVersion

Publication Date

11-2021

Abstract

Data-centric AI calls for better, not just bigger, datasets. As data protection laws with extra-territorial reach proliferate worldwide, ensuring datasets are legal is an increasingly crucial yet overlooked component of “better”. To help dataset builders become more willing and able to navigate this complex legal space, this paper reviews key legal obligations surrounding ML datasets, examines the practical impact of data laws on ML pipelines, and offers a framework for building legal datasets.

Keywords

Legal datasets, machine learning, data laws, data protection laws

Discipline

Computer Law | Databases and Information Systems | Internet Law

Research Areas

Innovation, Technology and the Law

First Page

1

Last Page

7

Citation

SOH, Jerrold. Building legal datasets. (2021). 1-7.
Available at: https://ink.library.smu.edu.sg/sol_research/3442

Copyright Owner and License

Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Comments

Accepted at NeuRIPS 2021 Data-Centric AI Workshop

Additional URL

https://arxiv.org/abs/2111.02034