November 16, 2021 Working paper Open Access

Hunger, Francis

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  <identifier identifierType="DOI">10.5281/zenodo.5705769</identifier>
  <creators>
    <creator>
      <creatorName>Hunger, Francis</creatorName>
      <givenName>Francis</givenName>
      <familyName>Hunger</familyName>
    </creator>
  </creators>
  <titles>
    <title>Curation and its Statistical Automation by means of Artificial 'Intelligence'</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>Data</subject>
    <subject>Curating</subject>
    <subject>Curator</subject>
    <subject>Artificial Intelligence</subject>
    <subject>Media Art</subject>
    <subject>Post-Internet</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-11-16</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Working paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5705769</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="Cites" resourceTypeGeneral="Text">10.5281/zenodo.4604880</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="Cites" resourceTypeGeneral="Text">10.5281/zenodo.4742621</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsDerivedFrom" resourceTypeGeneral="Text">10.5281/zenodo.5589930</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5705768</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/digitalarthistory</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The concept of post-AI curating discussed in this working paper explores curation as a knowledge-creation process, supported by pattern recognition and weighted networks as technical tools of artificial &amp;lsquo;intelligence&amp;rsquo;. The text discusses a number of concepts that build on each other, such as curating, curator, the curatorial, curatorial experimental research, post-human curating and post-AI curating.&lt;/p&gt;

&lt;p&gt;It then examines several projects as case studies that approach curation using artificial &amp;lsquo;intelligence&amp;rsquo;:&lt;em&gt; The Next Biennial Should Be Curated by a Machine&lt;/em&gt; from UBERMORGEN, Leonardo Impett and Joasia Krysa (2021) as a meta-artwork about curation and biennials; Tillmann Ohm&amp;rsquo;s project &lt;em&gt;Artificial Curator&lt;/em&gt; (2020), which resulted in an automatically curated exhibition; and &lt;em&gt;#Exstrange &lt;/em&gt;by Rebekah Modrak and Marialaura Ghidini et. al. (2017), which presents artworks as data objects on the eBay online platform.&lt;/p&gt;

&lt;p&gt;Finally the text shifts to summarising embeddedness, big data infrastructures, spatiality and information model, solutionism and digital humanities, selection and similarity as instances of post-AI curating.&lt;/p&gt;</description>
    <description descriptionType="Other">Training the Archive Working Paper Series, Paper 3</description>
  </descriptions>
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