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Art x Public AI [electronic resource].
Title & Author:

Art x Public AI [electronic resource].

Publication:

Serpentine 2024

Restrictions:

Open access content

Notes:
CC BY-SA
Summary:

Provides analyses, concepts and strategies for cultural organisations, artists and the broader art and advanced technologies ecosystem responding to the transformations of AI systems on culture and society. FAE4 lays bare the various layers of the AI stack – from its software components like applications, data and the AI models themselves to the natural resources that AI systems need to function, showing that public and non-public entities are deeply entangled in every layer of the AI stack.
https://www.librarystack.org/art-x-public-ai/?ref=unknown

Resources:
Item Resolution URL
Subject:

Technology and the arts
Artificial intelligence
Artists
Data mining
Information Commons
Natural language processing (Computer science)
Transborder Data Flows

Form/genre:

Text

Added entries:

Serpentine R&D Platform
Tommie Introna
Victoria Ivanova
Eva Jäger
Lina Martin-Chan
Kay Watson
Alasdair Milne
Gary Zhexi Zhang
Agnes Cameron
Ian Cheng
CROSSLUCID
Delta_Ark
Holly Herndon
Mat Dryhurst
Beverley Hood
Saffron Huang
Natalie Kane
Bogna Konior
Laurence Mayer-Robitaille
Oonagh Murphy
Matt Prewitt
Martin Rauchbauer
Anna Ridler
Heather Schoell
Noam Segal
Reema Selhi
Madisen Taylor
Moisés Horta Valenzuela
Theresa Züger
William Kherbek
Sebastian Berns
Mercedes Bunz
Daniel Chávez Heras
Marta Ferreira de Sá
Benedict Singleton
Rival Strategy
Katrina Sluis
Barry Threw
Caroline Sinders
Jack Henderson
Jack Murray-Brown
Roxy Zeiher

Actions:
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