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  <titleInfo>
    <title>Data Diets and Democracy: The Chinese Social Credit System  From a Machine Learning Perspective</title>
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    <namePart>Fairfield, Joshua</namePart>
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    <dateIssued encoding="marc">2019</dateIssued>
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    <publisher>Verfassungsblog</publisher>
    <dateIssued>2019-06-25</dateIssued>
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  <abstract displayLabel="Summary">The Chinese Social Credit System trends against democracy. It is being built by a competent and motivated anti-democratic system with social control as one stated goal. The more important question though is whether the Chinese machine learning data diet will make Chinese AI stronger than Western AI, and whether the realities of machine learning will undermine Western-style capitalism and liberal democracy. As this essay argues, I think there is a real chance that both will occur.</abstract>
  <accessCondition type="use and reproduction">CC BY-NC-ND 4.0</accessCondition>
  <note type="statement of responsibility">Fairfield, Joshua</note>
  <subject>
    <topic>China</topic>
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  <subject>
    <topic>democracy</topic>
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  <subject>
    <topic>Machine Learning</topic>
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  <subject>
    <topic>Social Credit System</topic>
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    <url displayLabel="raw object" usage="primary display">https://verfassungsblog.de/data-diets-and-democracy-the-chinese-social-credit-system-from-a-machine-learning-perspective/</url>
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    <identifier type="issn">2366-7044</identifier>
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      <namePart>Max Steinbeis Verfassungsblog gGmbH</namePart>
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  <identifier type="doi">10.17176/20190625-112623-0</identifier>
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