Building Legal Datasets
arXiv:2111.02034
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.
arXiv commentAccepted at NeuRIPS 2021 Data-Centric AI Workshop. Note that the workshop does not have archival proceedings
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