null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Green AI

List Price: $189.99
SKU:
9781041357377
Quantity:
Minimum Purchase
25 unit(s)
Expected release date is Feb 24th 2027
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    Jay Liebowitz
    Format:
    Hardcover
    Pages:
    240
    Publisher:
    CRC Press (February 24, 2027)
    Imprint:
    Auerbach Publications
    Release Date:
    February 24, 2027
    Language:
    English
    Audience:
    Professional and scholarly
    ISBN-13:
    9781041357377
    Weight:
    18oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_261020042655605-20261020.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $189.99
    Country of Origin:
    United States
    Pub Discount:
    30
    Series:
    Data Analytics Applications
    As low as:
    $180.49
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
  • Overview

    The book explores how artificial intelligence can be designed, developed, and deployed with environmental sustainability at its core. It blends technical insight with ethical urgency, outlining both the environmental costs of today’s AI systems and practical strategies to reduce those impacts without sacrificing innovation.