Building legal datasets
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...
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2021
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sg-smu-ink.sol_research-54002023-02-07T06:43:48Z Building legal datasets SOH, Jerrold 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. 2021-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sol_research/3442 https://ink.library.smu.edu.sg/context/sol_research/article/5400/viewcontent/BuildingDatasets_2021_wp.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Yong Pung How School Of Law eng Institutional Knowledge at Singapore Management University Legal datasets machine learning data laws data protection laws Computer Law Databases and Information Systems Internet Law |
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Singapore Management University |
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Singapore Singapore |
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Legal datasets machine learning data laws data protection laws Computer Law Databases and Information Systems Internet Law |
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Legal datasets machine learning data laws data protection laws Computer Law Databases and Information Systems Internet Law SOH, Jerrold Building legal datasets |
| description |
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. |
| format |
text |
| author |
SOH, Jerrold |
| author_facet |
SOH, Jerrold |
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SOH, Jerrold |
| title |
Building legal datasets |
| title_short |
Building legal datasets |
| title_full |
Building legal datasets |
| title_fullStr |
Building legal datasets |
| title_full_unstemmed |
Building legal datasets |
| title_sort |
building legal datasets |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2021 |
| url |
https://ink.library.smu.edu.sg/sol_research/3442 https://ink.library.smu.edu.sg/context/sol_research/article/5400/viewcontent/BuildingDatasets_2021_wp.pdf |
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