Working paper Open Access

Curation and its Statistical Automation by means of Artificial 'Intelligence'

Hunger, Francis


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    <subfield code="a">&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;</subfield>
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