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Power and Prediction: The Disruptive Economics of Artificial Intelligence

Contributor(s): Gans, Joshua (Author), Agrawal, Ajay (Author), Goldfarb, Avi (Author), Beyer, Tom (Read by)

ISBN: 9798212359207

Publisher: Ascent Audio

$45.95
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Pub Date: November 15, 2022

Lexile Code: 0000

Features: Unabridged

Target Age Group: NA to NA

Physical Info: 0.00" H x 0.00" L x 0.00" W ( 0.00 lbs) pages

Descriptions, Reviews, etc.

Description: In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it. The rise of AI is shifting prediction from humans to machines, relieving people from this cognitive load while increasing the speed and accuracy of decisions.



This sets the stage for a flourishing of new decisions and has profound implications for system-level innovation. Redesigning systems of interdependent decisions takes time, but when these new systems emerge, they can be disruptive on a global scale. Decision-making confers power. In industry, power confers profits; in society, power confers control. This process will have winners and losers, and the authors show how businesses can leverage opportunities, as well as protect their positions.



Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-listen guide for any business leader or policymaker on how to make the coming AI disruptions work for you rather than against you.

Brief description: Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare and professor of marketing at Toronto's Rotman School of Management. He is also chief data scientist at the Creative Destruction Lab, a fellow at Behavioral Economics in Action at Rotman, and a faculty affiliate at the Vector Institute for Artificial Intelligence.

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