Prediction machines : the simple economics of artificial intelligence
(Book)

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Published
Boston, Massachusetts : Harvard Business Review Press, [2018].
ISBN
9781633695672, 1633695670
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Calumet City Public Library - Nonfiction658.05 AGROn Shelf
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Published
Boston, Massachusetts : Harvard Business Review Press, [2018].
Format
Book
Physical Desc
x, 250 pages : illustrations ; 25 cm
Language
English
ISBN
9781633695672, 1633695670

Notes

Bibliography
Includes bibliographical references and index.
Description
The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities--,Provided by publisher.

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APA Citation, 7th Edition (style guide)

Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: the simple economics of artificial intelligence . Harvard Business Review Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Agrawal, Ajay, Joshua Gans and Avi, Goldfarb. 2018. Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Agrawal, Ajay, Joshua Gans and Avi, Goldfarb. Prediction Machines: The Simple Economics of Artificial Intelligence Harvard Business Review Press, 2018.

MLA Citation, 9th Edition (style guide)

Agrawal, Ajay,, Joshua Gans, and Avi Goldfarb. Prediction Machines: The Simple Economics of Artificial Intelligence Harvard Business Review Press, 2018.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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