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Building Legal Datasets by Soh, Jerrold is a scholarly article available to read on EtoBox.

What is Building Legal Datasets about?

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.

Author

Soh, Jerrold

Published

2021

Language

EN