Trevor Paglen: Adversarially Evolved Hallucinations

Anthony Downey, Trevor Paglen*

*Corresponding author for this work

    Research output: Book/ReportBook

    Abstract

    How machine learning and computer vision generate 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.
    Original languageEnglish
    Place of PublicationBerlin
    PublisherSternberg Press and MIT Press
    Number of pages172
    Volume4
    ISBN (Print)9783956795831
    Publication statusPublished (VoR) - 2024

    Publication series

    NameResearch/Practice
    PublisherSternberg Press
    Volume4

    Keywords

    • Artificial intelligence (AI)
    • algorithm
    • Algorithmic design
    • Visual Culture
    • Research methodology

    Fingerprint

    Dive into the research topics of 'Trevor Paglen: Adversarially Evolved Hallucinations'. Together they form a unique fingerprint.

    Cite this