Transcription of Datasheets for Datasets
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Datasheets for Datasets
Datasheets for Datasets Timnit Gebru 1 Jamie Morgenstern 2 Briana Vecchione 3 Jennifer Wortman Vaughan 1 Hanna Wallach 1. Hal Daum III 1 4 Kate Crawford 1 5. Abstract We therefore propose the concept of Datasheets for Datasets . The machine learning community has no stan- In the electronics industry, every component is accompanied dardized way to document how and why a dataset by a datasheet describing standard operating characteristics, was created, what information it contains, what test results, and recommended usage. By analogy, we rec- [ ] 9 Jul 2018. tasks it should and should not be used for, and ommend that every dataset be accompanied with a datasheet whether it might raise any ethical or legal con- documenting its motivation, creation, composition, intended cerns.
easily discovered. Much like a faulty resistor or a capac-itor in a circuit, the effects of a biased machine learning 1The evaluated APIs also provided the labels of female and male, failing to address the complexities of gender beyond binary. arXiv:1803.09010v3 [cs.DB] 9 Jul 2018
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