Archeologies of Datasets.
The article discusses artificial intelligence (AI) in historical practice, with particular focus given to machine learning and the training of datasets. Caution is suggested when using AI systems in historical research. According to the article, training data is helpful in both understanding the his...
| Publicado en: | American Historical Review Vol. 128; no. 3; pp. 1368 - 1372 |
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| Formato: | Artículo |
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Oxford University Press / USA
Sep2023
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| 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=172362157&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 172362157 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00028762 AHS jtl: American Historical Review issn: 00028762 maglogo: N pubinfo: dt: Sep2023 vid: 128 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 172362157 10.1093/ahr/rhad364 ppf: 1368 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P size: 109KB tig: atl: Archeologies of Datasets. aug: au: Crawford, Kate affil: Research Professor, University of Southern California Annenberg , US su: Machine learning Data Historical research methods Historical research Theory of knowledge sug: subj: Machine learning Data Historical research methods Historical research Theory of knowledge ab: The article discusses artificial intelligence (AI) in historical practice, with particular focus given to machine learning and the training of datasets. Caution is suggested when using AI systems in historical research. According to the article, training data is helpful in both understanding the history and epistemology of AI and assessing AI tools in historical research. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 The American Historical Association. item: American Historical Review holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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