An edition of Only humans need apply
(2016)
Only humans need apply
winners and losers in the age of smart machines
First edition.
by Davenport, Thomas H.
- 2 Want to read
- 1 Have read
Share
×Close
"In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. Its both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era. The choice is ours,"--Amazon.com.
Check nearby libraries
Buy this book
Previews available in: English
| Edition | Availability |
|---|---|
1
Only humans need apply: winners and losers in the age of smart machines
2016, Harper Business
in English
- First edition.
0062438611 9780062438614
|
aaaa
|
Book Details
Table of Contents
Introduction (We are entering a third era of automation, in which machines encroach on decision-making)
Are computers coming after your job? (Yes, your current job will be done better by a smart machine in part if not in whole. Take this threat seriously.)
Just how smart are smart machines? (Key technological advances have made machines more capable than humans on many dimensions, but there is still a role for wetware.)
Don't automate, augment (Instead of asking what work will machines take away from us next, we need to start asking what world will machines enable us to take on next?)
Stepping up (People who still manage to problem-solve at a higher cognitive level than machines will do so because they comprehend the bigger picture and apply judgment to decisions where insufficient data exists.)
Stepping aside (People who tap into the human condition are able to complement machine intelligence with other of their "multiple intelligences" beyond rational problem-solving.)
Stepping in (People who make the machines productive will rely on them to make routine decisions but will know when to correct their mistakes and how to tweak them for better performance
and how to explain their automated logic to other people.)
Stepping narrowly (People who hyperspecialize will hold on to decision-making by gaining deep expertise in areas that are so narrow they don't make economic sense for anyone to automate.)
Stepping forward (People who build the next generation of smart machines will be entrepreneurial as well as technically brilliant. No one will ever go broke automating the intelligence of the knowledge worker.)
How you'll manage augmentation (For managers, augmentation is the only viable enterprise strategy, given the competitive imperative for constant innovation and the very fast following of any software-based advantages.)
Utopia or dystopia? How society must adapt to smart machines (An emphasis on augmentation has implications for education policy, job creation policy, and more.).
Edition Notes
Includes bibliographical references (pages 255-263) and index.
Classifications
The Physical Object
Edition Identifiers
Work Identifiers
Community Reviews (0)
History
- Created July 19, 2019
- 7 revisions
Wikipedia citation
×CloseCopy and paste this code into your Wikipedia page. Need help?
| March 8, 2023 | Edited by MARC Bot | import existing book |
| December 19, 2022 | Edited by MARC Bot | import existing book |
| December 14, 2022 | Edited by CoverBot | //covers.openlibrary.org/b/id/13082832-S.jpg |
| December 8, 2022 | Edited by ImportBot | import existing book |
| July 19, 2019 | Created by MARC Bot | Imported from marc_openlibraries_sanfranciscopubliclibrary MARC record |