AI snake oil : (Record no. 751319)

MARC details
000 -LEADER
fixed length control field 02018cam a2200181 i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780691269948
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3 NAR/A
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Narayanan, Arvind,
245 10 - TITLE STATEMENT
Title AI snake oil :
Sub Title what artificial intelligence can do, what it can't, and how to tell the difference /
Statement of responsibility, etc Arvind Narayanan & Sayash Kapoor.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication . -New Jersey
Name of publisher : Princeton University press
Year of publication , 2024
300 ## - PHYSICAL DESCRIPTION
Number of Pages x, 348 pages :
Other physical details illustrations ;
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (pages 293-330) vand 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"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial intelligence.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kapoor, Sayash,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home Library Current Location Date acquired Full call number Accession Number Price effective from Koha item type
    Dewey Decimal Classification     Dept. of Political Science Dept. of Political Science 01/03/2025 006.3 NAR/A POL23768 12/09/2025 Book