DATA browser 10
CURATING
SUPERINTELLIGENCES: A READER ON AI AND FUTURE CURATING
Edited by
Joasia Krysa and Magdalena Tyżlik-Carver
Published in 2025 by Open Humanities Press
ISBN (print): 978-1-78542-157-0
ISBN (PDF): 978-1-78542-156-3
398 pages
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Outline:
This
volume addresses a shift in contemporary curatorial field largely
attributed to the ubiquitous presence of information and computational
technologies, the rapid developments in Artificial Intelligence, and the
reclaiming of subaltern knowledges. It poses questions about the
implications of these “super-intelligences” for contemporary art and
culture, and the new possibilities for curatorial practice and its
future forms.
What are the lessons to be learnt? What can the practice of curating
learn from AI, what can AI learn from curating, and how can both unlearn
knowledges derived from undemocratic, centralised and colonialist
frameworks of humans and machines? What kind of future infrastructures
and curatorial practices can develop from the coming together of diverse
human and non-human entities? What new kinds of curatorial knowledge can
emerge from desires to reclaim marginalised categories such as
automation, machine, nature, women, black and people of colour,
indigenous people, LGBTQIA, from their usual positions in knowledge
taxonomies as epistemological objects of study rather than curating
subjects? What new understandings, relationships, and new entities can
emerge once open to the possibilities afforded by expanded human and
machine epistemologies?
The book is part reader and part new commissions, compiled by Joasia
Krysa and Magdalena Tyżlik-Carver.
Contents:
Introduction: Towards Collective Practices with Humans, Machines, and Others
Joasia Krysa and Magdalena Tyżlik-Carver
I. Conceptual Threads
Towards a Poetics of Artifcial Superintelligence: How Symbolic Language Can Help us Grasp the Nature and Power of What is Coming
Nora N. Khan
A Visual Introduction to AI
Elvia Vasconcelos
Notes on a (Dis)continuous Surface
Murad Khan
The Automation of Creation: From Template Art to AI
Olga Goriunova
MI3 (Machine Intelligence 3), 2018
Suzanne Treister
Queer Motto API Manual: To Know Exactly How Many Times to Cry
Winnie Soon and Helen V. Pritchard
II. Expanded Curatorial Field
Flexible Contexts, Filtering, and Automation: Models of Online Curatorial Practice
Christiane Paul
Collaboration and Community in Aboriginal Territories in Cyberspace
Mikhel Proulx, with Jason Edward Lewis and Skawennati
Curating Art platforms in the Networked Environment — A Timeline
Marialaura Ghidini
Curating Platforms for Shanghai Biennale
Mi You
Crash Blossoms/ IF & ONLY IF: A Lo-Fidelity AI Newspaper
Nathan Jones, Sam Skinner and Tom Schofeld
Curating in the Wild: Taming the Indeterminacy of the Networked Image
Nicolas Malevé, Katrina Sluis and Gaia Tedone
Virtual Exhibits: Museum Infrastructures and the Management of Artworks’ Presence
Gabriel Menotti
Beyond Ownership: Sustaining Art as Practices and Processes
Ashley Lee Wong
Smart Contracts and the Becoming-Curatorial of Digital Works of Art
Martin Zeilinger
III. Future Curating
Creative AI Lab: The Back-End Environments of Art-Making
Eva Jäger
Future Art Ecosystems 4: Art × Public AI
Victoria Ivanova, Eva Jäger, Alasdair Milne and Gary Zhexi Zhang
Beyond Matter: An Inquiry into the Modes of Exhibition Practices in the Virtual Condition
Lívia Nolasco-Rózsás
Training the Archive: A Research Project on Automated Structuring of Museum Collection Data to Support Curatorial Practice
Dominik Bönisch
Curation and its Statistical Automation by Means of Artificial Intelligence
Francis Hunger
Rethinking Curating in the Age of Artificial Intelligence: The Next Biennial Should be Curated by a Machine
Joasia Krysa and Leonardo Impett
The book expands on Liverpool Biennial’s journal Stages 09: The
Next Biennial Should be Curated by a Machine, edited by Joasia Krysa
and Manuela Moscoso on the occasion of Liverpool Biennial 2021, and
ideas first introduced in DATA Browser 03: Curating Immateriality
(2006) edited by Joasia Krysa.
Produced with additional support from the Institute of Art & Technology, Liverpool John Moores University, and Digital x Data Research Centre, London South Bank University, and additional support from Aarhus University.