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Trevor Paglen (Adversarially Evolved Hallucinations)
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Product Details
Author:
Trevor Paglen, Anthony Downey
Format:
Paperback
Pages:
160
Publisher:
MIT Press (August 20, 2024)
Language:
English
ISBN-13:
9783956795831
ISBN-10:
3956795830
Weight:
6oz
Dimensions:
4.38" x 7.13" x 0.39"
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T171753_155746876-20260405.xml
Folder:
RandomHouse
List Price:
$20.00
Series:
Sternberg Press / Research/Practice
Case Pack:
60
As low as:
$15.40
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Audience:
General/trade
Country of Origin:
Estonia
Pub Discount:
65
Imprint:
Sternberg Press
Overview
How machine and computer vision produces contemporary images.
Although often considered to be a fault or a glitch in the system, the event of hallucination is central to the models of image production generated by artificial intelligence (AI). Through mining the latent space of computer vision, Trevor Paglen’s series Adversarially Evolved Hallucinations (2017–ongoing) reveals this phantasmal and hallucinatory domain. In the conversation included in this volume, he discusses how we can think from within these opaque structures and, in turn, questions the frequently inflated claims made on behalf of automated image-production systems. In an accompanying essay, Anthony Downey explores the uncanny realm of algorithmically induced images and proposes that AI, through its generative modeling of the world, invariably estranges us from the present and the future.
Although often considered to be a fault or a glitch in the system, the event of hallucination is central to the models of image production generated by artificial intelligence (AI). Through mining the latent space of computer vision, Trevor Paglen’s series Adversarially Evolved Hallucinations (2017–ongoing) reveals this phantasmal and hallucinatory domain. In the conversation included in this volume, he discusses how we can think from within these opaque structures and, in turn, questions the frequently inflated claims made on behalf of automated image-production systems. In an accompanying essay, Anthony Downey explores the uncanny realm of algorithmically induced images and proposes that AI, through its generative modeling of the world, invariably estranges us from the present and the future.
