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AI-as-Historian.

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Bibliographic Details
Title: AI-as-Historian.
Authors: Sternfeld, Joshua (AUTHOR)
Source: American Historical Review. Sep2023, Vol. 128 Issue 3, p1372-1377. 6p.
Subjects: Historical research methods, Artificial intelligence, Acquisition of data, Back propagation, Machine learning
Abstract: This article investigates the concept of utilizing artificial intelligence (AI) in the field of history. First the article details the process of the historical method which involves selecting evidence, synthesizing evidence, and then contextualizing and interpreting evidence. Next AI system training is explored starting with training on datasets and testing, data synthesis, and back propagation. Along the way of detailing these processes they are compared and contrasted to each other.
Database: Psychology and Behavioral Sciences Collection
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DbLabel: Psychology and Behavioral Sciences Collection
An: 172362161
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: AI-as-Historian.
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  Data: <searchLink fieldCode="AR" term="%22Sternfeld%2C+Joshua%22">Sternfeld, Joshua</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22American+Historical+Review%22">American Historical Review</searchLink>. Sep2023, Vol. 128 Issue 3, p1372-1377. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Historical+research+methods%22">Historical research methods</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Back+propagation%22">Back propagation</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink>
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  Label: Abstract
  Group: Ab
  Data: This article investigates the concept of utilizing artificial intelligence (AI) in the field of history. First the article details the process of the historical method which involves selecting evidence, synthesizing evidence, and then contextualizing and interpreting evidence. Next AI system training is explored starting with training on datasets and testing, data synthesis, and back propagation. Along the way of detailing these processes they are compared and contrasted to each other.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=172362161
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/ahr/rhad368
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 1372
    Subjects:
      – SubjectFull: Historical research methods
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Acquisition of data
        Type: general
      – SubjectFull: Back propagation
        Type: general
      – SubjectFull: Machine learning
        Type: general
    Titles:
      – TitleFull: AI-as-Historian.
        Type: main
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            NameFull: Sternfeld, Joshua
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            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 00028762
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            – Type: volume
              Value: 128
            – Type: issue
              Value: 3
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            – TitleFull: American Historical Review
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