Corpus ID: 4421027

Datasheets for Datasets

@article{Gebru2018DatasheetsFD,
  title={Datasheets for Datasets},
  author={Timnit Gebru and J. Morgenstern and Briana Vecchione and Jennifer Wortman Vaughan and H. Wallach and Hal Daum{\'e} and K. Crawford},
  journal={ArXiv},
  year={2018},
  volume={abs/1803.09010}
}

Timnit Gebru, J. Morgenstern, +4 authors K. Crawford

Published 2018

Computer Science

ArXiv

The machine learning community currently has no standardized process for documenting datasets, which can lead to severe consequences in high-stakes domains. To address this gap, we propose datasheets for datasets. In the electronics industry, every component, no matter how simple or complex, is accompanied with a datasheet that describes its operating characteristics, test results, recommended uses, and other information. By analogy, we propose that every dataset be accompanied with a datasheet… CONTINUE READING

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