<nettime> Training the Archive – Video interviews and Working Paper

[Francis Hunger <francis.hunger@irmielin.org>]

Dear Nettimers,

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

https://trainingthearchive.ludwigforum.de/en/interview-tyzlik-carver-en/

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.

https://trainingthearchive.ludwigforum.de/en/interview-harvey-en/

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 https://trainingthearchive.ludwigforum.de/en/working-papers-2/

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.

Best

Francis

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