Working Paper #3 published in English and German

© Francis Hunger
Photo: Detail of the cover of Working Paper No. 3. Design: Francis Hunger.

As part of the Working Paper publication format, the third title »Curation and its Statistical Automation by means of Artificial ‘Intelligence’« by Francis Hunger (HMKV HartwareMedienKunstVerein) is published. A German language version has also appeared here.

Abstract:
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.

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

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.

Click here to read the paper:
DOI: https://doi.org/10.5281/zenodo.5705769

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»Training the Archive« (2020–2023) is a research project that explores the possibilities and risks of AI in relation to the automated structuring of museum collection data to support curatorial practice and artistic production.

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