Working paper Open Access

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

Hunger, Francis


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    "description": "<p>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 &lsquo;intelligence&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.</p>\n\n<p>It then examines several projects as case studies that approach curation using artificial &lsquo;intelligence&rsquo;:<em> The Next Biennial Should Be Curated by a Machine</em> from UBERMORGEN, Leonardo Impett and Joasia Krysa (2021) as a meta-artwork about curation and biennials; Tillmann Ohm&rsquo;s project <em>Artificial Curator</em> (2020), which resulted in an automatically curated exhibition; and <em>#Exstrange </em>by Rebekah Modrak and Marialaura Ghidini et. al. (2017), which presents artworks as data objects on the eBay online platform.</p>\n\n<p>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.</p>", 
    "language": "eng", 
    "title": "Curation and its Statistical Automation by means of Artificial 'Intelligence'", 
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    "notes": "Training the Archive Working Paper Series, Paper 3", 
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