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Not Like Us (Why AI Isn't as Human as We Think (and Why That's a Good Thing))

List Price: $29.95
SKU:
9780262059190
Quantity:
Minimum Purchase
25 unit(s)
Expected release date is Mar 9th 2027
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  • Product Details

    Author:
    Dirk Hovy
    Format:
    Hardcover
    Pages:
    240
    Publisher:
    MIT Press (March 9, 2027)
    Imprint:
    The MIT Press
    Release Date:
    March 9, 2027
    Language:
    English
    Audience:
    General/trade
    ISBN-13:
    9780262059190
    ISBN-10:
    0262059193
    Weight:
    20oz
    Dimensions:
    6" x 9"
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_delta_active_D20260713T234307_157236326-20260713.xml
    Folder:
    RandomHouse
    List Price:
    $29.95
    Country of Origin:
    United States
    Pub Discount:
    65
    Case Pack:
    12
    As low as:
    $23.06
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
  • Overview

    A systematic field guide for critically evaluating the differences and similarities between humans and artificial intelligence.

    In an era oversaturated with AI hype and apocalyptic predictions, Not Like Us offers a clear-eyed, level-headed field guide for making sense of artificial intelligence. Dirk Hovy approaches AI through a distinctly human lens, rejecting both techno-utopianism and doom-mongering to present a refreshingly pragmatic framework: AI models are instruments designed to solve specific problems, not oracles that will reshape society or doom humanity. By celebrating what makes humans fundamentally different from machines, the book explores how humans and AI can complement, rather than compete with one another.

    Not Like Us demystifies the uncertainty around AI by explaining what today's systems are, and what they can and cannot do. Through stories drawn from science, history, and everyday technology, the book offers practical questions to evaluate AI critically: What are models genuinely good at? Where do they predictably fail? Who stands to benefit, and who might be disadvantaged? Covering global perspectives, including multilingual AI, universal risks, and diverse regulatory frameworks, Not Like Us gives curious readers a shared vocabulary and a durable mental model to cut through hype, calm fears, and make better decisions about AI as it evolves alongside us.