AI snake oil : (Record no. 3093517)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02045nam a22002177a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | JGU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241024020015.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241011b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780691269948 |
| Qualifying information | hbk. |
| 040 ## - CATALOGING SOURCE | |
| Language of cataloging | eng |
| Transcribing agency | JGU |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Narayanan, Arvind, |
| 9 (RLIN) | 1665104 |
| Relator term | author |
| 245 ## - 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 and Sayash Kapoor. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Oxford : |
| Name of publisher, distributor, etc | Princeton University Press, |
| Date of publication, distribution, etc | 2024. |
| 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kapoor, Sayash, |
| Relator term | author |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Koha item type | Home library | Current library | Shelving location | Full call number | Barcode | Total Checkouts | Checked out | Date last seen | Date checked out |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | General Books | OPJGU Sonepat- Campus | OPJGU Sonepat- Campus | Main Library | 006.3 NA-A | 154643 | 1 | 22/11/2024 | 23/10/2024 | 23/10/2024 |