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Humachine (Record no. 1426)

MARC details
000 -LEADER
fixed length control field 03072 a2200397 4500
001 - CONTROL NUMBER
control field 1138571342
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317100403.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042019GB 14 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781138571341
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 32.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code KJMV6
Source thema
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Subject category code KJMV2
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072 7# - SUBJECT CATEGORY CODE
Subject category code KJMK
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072 7# - SUBJECT CATEGORY CODE
Subject category code KJMV5
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code KJMV6
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code KJMV2
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072 7# - SUBJECT CATEGORY CODE
Subject category code KJMV3
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072 7# - SUBJECT CATEGORY CODE
Subject category code KJMV5
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072 7# - SUBJECT CATEGORY CODE
Subject category code BUS019000
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072 7# - SUBJECT CATEGORY CODE
Subject category code BUS030000
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072 7# - SUBJECT CATEGORY CODE
Subject category code BUS083000
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Subject category code COM039000
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Subject category code COM079010
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072 7# - SUBJECT CATEGORY CODE
Subject category code BUS000000
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072 7# - SUBJECT CATEGORY CODE
Subject category code BUS042000
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072 7# - SUBJECT CATEGORY CODE
Subject category code 650.028563
Source bisac
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nada R. Sanders
245 10 - TITLE STATEMENT
Title Humachine
Remainder of title Humankind, Machines, and the Future of Enterprise
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Oxford
Name of publisher, distributor, etc. Routledge
Date of publication, distribution, etc. 20190925
300 ## - PHYSICAL DESCRIPTION
Extent 272 p
520 ## - SUMMARY, ETC.
Expansion of summary note There is a lot of hype, hand-waving, and ink being spilled about artificial intelligence (AI) in business. The amount of coverage of this topic in the trade press and on shareholder calls is evidence of a large change currently underway. It is awesome and terrifying. You might think of AI as a major environmental factor that is creating an evolutionary pressure that will force enterprise to evolve or perish. For those companies that do survive the "silicon wave" sweeping through the global economy, the issue becomes how to keep their humanity amidst the tumult. What started as an inquiry into how executives can adopt AI to harness the best of human and machine capabilities turned into a much more profound rumination on the future of humanity and enterprise. This is a wake-up call for business leaders across all sectors of the economy. Not only should you implement AI regardless of your industry, but once you do, you should fight to stay true to your purpose, your ethical convictions, indeed your humanity, even as our organizations continue to evolve. While not holding any punches about the dangers posed by overpowered AI, this book uniquely surveys where technology is limited, and gives reason for cautious optimism about the true opportunities that lie amidst all the disruptive change currently underway. As such, it is distinctively more optimistic than many of the competing titles on Big Technology. This compelling book weaves together business strategy and philosophy of mind, behavioral psychology and the limits of technology, leadership and law. The authors set out to identify where humans and machines can best complement one another to create an enterprise greater than the sum total of its parts: the Humachine. Combining the global business and forecasting acumen of Professor Nada R. Sanders, PhD, with the legal and philosophical insight of John D. Wood, Esq., the authors combine their strengths to bring us this profound yet accessible book. This is a "must read" for anyone interested in AI and the future of human enterprise.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name John D. Wood
Relationship A01

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