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Feeding the Machine (The Hidden Human Labor Powering A.I.)

List Price: $29.99
SKU:
9781639734962
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  • Product Details

    Author:
    Callum Cant, James Muldoon, Mark Graham
    Format:
    Hardcover
    Pages:
    288
    Publisher:
    Bloomsbury USA (August 6, 2024)
    Language:
    English
    Audience:
    General/trade
    ISBN-13:
    9781639734962
    ISBN-10:
    1639734961
    Weight:
    19.04oz
    Dimensions:
    6.4" x 9.9" x 0.95"
    File:
    Macmillan Trade-Macmillan_Print_US_Trade_20251001142415-20251003.xml
    Folder:
    Macmillan Trade
    List Price:
    $29.99
    Case Pack:
    24
    As low as:
    $23.09
    Publisher Identifier:
    P-STM
    Discount Code:
    A
    QuickShip:
    Yes
    Pub Discount:
    65
    Imprint:
    Bloomsbury Publishing
  • Overview

    For readers of Naomi Klein and Nicole Perlroth, a myth-dissolving exposé of how artificial intelligence exploits human labor, and a resounding argument for a more equitable digital future.

    Silicon Valley has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions laboring under often appalling conditions to make A.I. possible. This book presents an urgent, riveting investigation of the intricate network that maintains this exploitative system, revealing the untold truth of A.I.

    Based on hundreds of interviews and thousands of hours of fieldwork over more than a decade, Feeding the Machine describes the lives of the workers deliberately concealed from view, and the power structures that determine their future. It gives voice to the people whom A.I. exploits, from accomplished writers and artists to the armies of data annotators, content moderators and warehouse workers, revealing how their dangerous, low-paid labor is connected to longer histories of gendered, racialized, and colonial exploitation.

    A.I. is an extraction machine that feeds off humanity's collective effort and intelligence, churning through ever-larger datasets to power its algorithms. This book is a call to arms that details what we need to do to fight for a more just digital future.