Can We Trust AI? / (Record no. 235648)
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fixed length control field | 04092cam a22003974a 4500 |
001 - CONTROL NUMBER | |
control field | musev2_100180 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | MdBmJHUP |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240815120857.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr||||||||nn|n |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221227s2022 mdu o 00 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781421445328 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781421445304 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781421445311 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1348924153 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | MdBmJHUP |
Transcribing agency | MdBmJHUP |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Chellappa, Rama, |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Can We Trust AI? / |
Statement of responsibility, etc. | Rama Chellappa. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Baltimore : |
Name of producer, publisher, distributor, manufacturer | Johns Hopkins University Press, |
Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
264 #3 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Baltimore, Md. : |
Name of producer, publisher, distributor, manufacturer | Project MUSE, |
Date of production, publication, distribution, manufacture, or copyright notice | 2022 |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Date of production, publication, distribution, manufacture, or copyright notice | ©2022. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (224 pages). |
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 |
506 0# - RESTRICTIONS ON ACCESS NOTE | |
Terms governing access | Open Access |
Standardized terminology for access restriction | Unrestricted online access |
Source of term | star |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Artificial intelligence is part of our daily lives. How can we address its limitations and guide its use for the benefit of communities worldwide?Artificial intelligence (AI) has evolved from an experimental computer algorithm used by academic researchers to a commercially reliable method of sifting through large sets of data that detect patterns not readily apparent through more rudimentary search tools. As a result, AI-based programs are helping doctors make more informed decisions about patient care, city planners align roads and highways to reduce traffic congestion with better efficiency, and merchants scan financial transactions to quickly flag suspicious purchases. But as AI applications grow, concerns have increased, too, including worries about applications that amplify existing biases in business practices and about the safety of self-driving vehicles. In Can We Trust AI?, Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI, its current uses, and how it will drive industries and shape lives in the future. Leading AI researchers, thought leaders, and entrepreneurs contribute their expertise as well on how AI works, what we can expect from it, and how it can be harnessed to make our lives not only safer and more convenient but also more equitable. Can We Trust AI? is essential reading for anyone who wants to understand the potential--and pitfalls--of artificial intelligence. The book features:• an exploration of AI's origins during the post-World War II era through the computer revolution of the 1960s and 1970s, and its explosion among technology firms since 2012;• highlights of innovative ways that AI can diagnose medical conditions more quickly and accurately;• explanations of how the combination of AI and robotics is changing how we drive; and• interviews with leading AI researchers who are pushing the boundaries of AI for the world's benefit and working to make its applications safer and more just. Johns Hopkins WavelengthsIn classrooms, field stations, and laboratories in Baltimore and around the world, the Bloomberg Distinguished Professors of Johns Hopkins University are opening the boundaries of our understanding of many of the world's most complex challenges. The Johns Hopkins Wavelengths book series brings readers inside their stories, illustrating how their pioneering discoveries and innovations benefit people in their neighborhoods and across the globe in artificial intelligence, cancer research, food systems' environmental impacts, health equity, planetary science, science diplomacy, and other critical arenas of study. Through these compelling narratives, their insights will spark conversations from dorm rooms to dining rooms to boardrooms. |
546 ## - LANGUAGE NOTE | |
Language note | English. |
588 ## - SOURCE OF DESCRIPTION NOTE | |
Source of description note | Description based on print version record. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence |
General subdivision | Philosophy. |
Source of heading or term | fast |
Authority record control number or standard number | (OCoLC)fst00817276 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence |
General subdivision | Philosophy. |
655 #7 - INDEX TERM--GENRE/FORM | |
Genre/form data or focus term | Electronic books. |
Source of term | local |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | Project Muse. |
Relator term | distributor |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Book collections on Project MUSE. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Public note | Full text available: |
Uniform Resource Identifier | <a href="https://muse.jhu.edu/book/100180/">https://muse.jhu.edu/book/100180/</a> |
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