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  <titleInfo>
    <title>Global Inequities in Algorithms - The Impact of Algorithms, Machine Learning and Automated Decision-making on the Most Vulnerable Populations</title>
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    <namePart>Khan, Shmyla</namePart>
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    <publisher>Verfassungsblog</publisher>
    <dateIssued>2022-03-31</dateIssued>
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  <abstract displayLabel="Summary">Algorithms can seem like esoteric subjects, often relegated to the realm of engineers and technology companies, given the technical nature of algorithmic design. Algorithms, when applied, take on a social character that invites us into peer beneath the hood to understand both their function and application. Given the growing ubiquitousness of algorithms in our daily lives, policymakers are looking to capture algorithms within regulatory mechanisms. This article seeks to understand the inequalities that undergird algorithmic applications, in order to understand how to regulate these systems.</abstract>
  <accessCondition type="use and reproduction">CC BY-SA 4.0</accessCondition>
  <note type="statement of responsibility">Khan, Shmyla</note>
  <subject>
    <topic>Algorithmic Justice</topic>
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  <subject>
    <topic>Algorithmic Transparency</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
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  <subject>
    <topic>Rule of the Algorithm</topic>
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  <subject>
    <topic>Tech Inequality</topic>
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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">10.17176/20220401-011214-0</identifier>
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