Hunger, Francis
2021-11-16
<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 ‘intelligence’. 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>
<p>It then examines several projects as case studies that approach curation using artificial ‘intelligence’:<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’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>
<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>
Training the Archive Working Paper Series, Paper 3
https://doi.org/10.5281/zenodo.5705769
oai:zenodo.org:5705769
eng
Zenodo
https://doi.org/10.5281/zenodo.4604880
https://doi.org/10.5281/zenodo.4742621
https://doi.org/10.5281/zenodo.5589930
https://zenodo.org/communities/digitalarthistory
https://doi.org/10.5281/zenodo.5705768
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Data
Curating
Curator
Artificial Intelligence
Media Art
Post-Internet
Curation and its Statistical Automation by means of Artificial 'Intelligence'
info:eu-repo/semantics/workingPaper