MARC details
| 000 -LEADER |
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02015nam a22003018i 4500 |
| 001 - CONTROL NUMBER |
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51725 |
| 003 - CONTROL NUMBER IDENTIFIER |
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StDuBDS |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20241202125118.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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m |o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr_||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240307s2024 nju ob 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2024001331 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780691249643 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(DLC)2024001331 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
StDuBDSZ |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
eng |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.3 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Narayanan, Arvind |
| 245 10 - TITLE STATEMENT |
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| 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 and Sayash Kapoor |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Princeton, N.J. : |
| Name of publisher, distributor, etc. |
Princeton University Press, |
| Date of publication, distribution, etc. |
2024 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references and index. |
| 520 8# - SUMMARY, ETC. |
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| 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. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
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| Source of description note |
Description based on print version record and CIP data provided by publisher; resource not viewed. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Artificial intelligence. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Kapoor, Sayash |
| Relator term |
author |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://www.vlebooks.com/product/openreader?id=RegentsUni&accId=9142556&isbn=9780691249643">https://www.vlebooks.com/product/openreader?id=RegentsUni&accId=9142556&isbn=9780691249643</a> |
| Public note |
Read this book on VLeBooks |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |