Datasheets for Datasets.
The authors discuss the use of datasheets for the collection and use of datasets in machine learning. They mention the need for datasheets by both data creators and data consumers, the kinds of questions that should be asked about the motivation, collection, and processing of the data, and the chall...
| Publicado en: | Communications of the ACM Vol. 64; no. 12; pp. 86 - 93 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Dec2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=153715896&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153715896 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Dec2021 vid: 64 iid: 12 pid: 68 pub: Association for Computing Machinery artinfo: ui: 153715896 10.1145/3458723 ppf: 86 ppct: 7 formats: tig: atl: Datasheets for Datasets. aug: au: GEBRU, TIMNIT MORGENSTERN, JAMIE VECCHIONE, BRIANA VAUGHAN, JENNIFER WORTMAN WALLACH, HANNA III, HAL DAUMÉ CRAWFORD, KATE affil: Founder of DAIR Institute, Palo Alto, CA, USA. Assistant professor at the University of Washington, Seattle, WA, USA. Ph.D. student at Cornell University, Ithaca, NY, USA. Senior Principal Researcher at Microsoft Research, New York, NY, USA. Partner Research Manager at Microsoft Research, New York, NY, USA. Senior Principal Researcher at Microsoft Research MD, USA. Professor at the University of Maryland, College Park, MD, USA. Senior Principal Researcher at Microsoft Research, CA, USA. Research Professor at USC Annenberg, CA, USA. su: Machine learning Electronic data processing documentation Acquisition of data Motivation (Psychology) Standardization sug: subj: Machine learning Electronic data processing documentation Acquisition of data Motivation (Psychology) Standardization ab: The authors discuss the use of datasheets for the collection and use of datasets in machine learning. They mention the need for datasheets by both data creators and data consumers, the kinds of questions that should be asked about the motivation, collection, and processing of the data, and the challenges in creating more standardized datasheets. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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