|Francis Hunger on Tue, 23 Nov 2021 10:58:29 +0100 (CET)|
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|<nettime> Training the Archive – Video interviews and Working Paper|
Training the Archive 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.
New: Two video interviews
Magda Tyzlik-Carver explores the webs of relationships between humans and the non-human of software and algorithms. In doing so, she ties into the concepts of the “post-human” and talks about automated curatorial actors, i.e. algorithms, bots, software and computing infrastructure.
Adam Harvey states: “I don’t think, it’s possible to
destroy the complete face detection/computer vision existing
infrastructure, and nor do I want to. But to limit its growth and
limit its dangerous potential to grow and know more and more about
who you are and what you’re looking at, how you’re moving, and
with who you around.”
Working Paper Series
Curation and its Statistical Automation by means of Artificial ‘Intelligence’ by Francis Hunger
The text 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), Tillmann Ohm’s project Artificial Curator (2020), and #Exstrange by Rebekah Modrak and Marialaura Ghidini et. al. (2017)…
The Curator’s Machine: Clustering of Museum Collection Data through Annotation of Hidden Connection Patterns between Artworks by Dominik Bönisch
Machine Learning can reveal connections and links between artworks, which previously became accessible to the curator only incompletely or with difficulty. The text presents a first Prototype…
Would be great if you'd look at it.
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