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AI snake oil : (Record no. 2712)

MARC details
000 -LEADER
fixed length control field 03931nam a2200517 i 4500
001 - CONTROL NUMBER
control field on1427948148
003 - CONTROL NUMBER IDENTIFIER
control field EBZ
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260714115950.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240307s2024 njua ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2024001331
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0691249644
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780691249643
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780691249131
Qualifying information hardcover
037 ## - SOURCE OF ACQUISITION
Stock number 10614694
Source of stock number/acquisition IEEE
037 ## - SOURCE OF ACQUISITION
Stock number DA282783-F46D-4556-A93A-5CD04E82BAB4
Source of stock number/acquisition OverDrive, Inc.
Note http://www.overdrive.com
040 ## - CATALOGING SOURCE
Original cataloging agency EBZ
Language of cataloging eng
Transcribing agency EBZ
042 ## - AUTHENTICATION CODE
Authentication code pcc
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q335
Item number .N368 2024
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23/eng/20240324
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Narayanan, Arvind,
Relator term author.
Real World Object URI https://id.oclc.org/worldcat/entity/E39PBJkHpC3FTTHvhRr7tBP4v3
245 10 - TITLE STATEMENT
Title AI snake oil :
Remainder of title what artificial intelligence can do, what it can't, and how to tell the difference /
Statement of responsibility, etc. Arvind Narayanan & Sayash Kapoor.
246 30 - VARYING FORM OF TITLE
Title proper/short title Artificial intelligence snake oil
246 30 - VARYING FORM OF TITLE
Title proper/short title What artificial intelligence can do, what it can't, and how to tell the difference
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Princeton, New Jersey :
Name of producer, publisher, distributor, manufacturer Princeton University Press,
Date of production, publication, distribution, manufacture, or copyright notice [2024]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (x, 348 pages) :
Other physical details illustrations (chiefly color)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
341 0# - ACCESSIBILITY CONTENT
Content access mode textual
Source sapdv
Materials specified EBSCOhost
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. "A trade book that argues that predictive AI is snake oil: it cannot and will never work. Artificial Intelligence is an umbrella term for a set of loosely related technologies. For instance, ChatGPT has little in common with algorithms that banks use to evaluate loan applicants. Both of these are referred to as AI, but in all of the salient ways - how they work, what they're used for and by whom, and how they fail - they couldn't be more different. Understanding the fundamental differences between AI technologies is critical for a technologically literate public to evaluate how AI is being used all around us. In this book, Arvind Narayanan and Sayash Kapoor explain the major strains of AI in use today: generative AI, predictive AI, and AI for content moderation. They show readers how to differentiate between them and, importantly, make a cogent argument for which types of AI can work well and which can never work, because of their inherent limitations. AI in this latter category, the authors argue, is AI snake oil: it does not and cannot work. More precisely, generative AI is imperfect but can be used for good once we learn how to apply it appropriately, whereas predictive AI can never work - in spite of the fact that it's being sold and marketed today in products - because we have never been able to accurately predict human behavior"--
Assigning source Provided by publisher.
532 #0 - ACCESSIBILITY NOTE
Summary of accessibility "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on online resource; title from digital title page (viewed on September 12, 2024).
590 ## - LOCAL NOTE (RLIN)
Local note Added to collection customer.56279.3
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element artificial intelligence.
Source of heading or term aat
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Intelligence (AI) & Semantics.
Source of heading or term bisacsh
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kapoor, Sayash,
Dates associated with a name 1996-
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Narayanan, Arvind.
Title AI snake oil
Place, publisher, and date of publication Princeton : Princeton University Press, [2024]
International Standard Book Number 9780691249131
Record control number (DLC) 2024001330
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified EBSCOhost
Uniform Resource Identifier <a href="http://search-ebscohost-com.mlisicats.remotexs.co/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3887798">http://search-ebscohost-com.mlisicats.remotexs.co/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3887798</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type E-Book

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