Working paper Open Access

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

Hunger, Francis


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5705769", 
  "language": "eng", 
  "title": "Curation and its Statistical Automation by means of Artificial 'Intelligence'", 
  "issued": {
    "date-parts": [
      [
        2021, 
        11, 
        16
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Hunger, Francis"
    }
  ], 
  "note": "Training the Archive Working Paper Series, Paper 3", 
  "type": "article", 
  "id": "5705769"
}
269
178
views
downloads
All versions This version
Views 269269
Downloads 178178
Data volume 1.1 GB1.1 GB
Unique views 222222
Unique downloads 157157

Share

Cite as