Prediction Machines: The Simple Economics of Artificial Intelligence
by Joshua Gans, Ajay Agrawal, Avi Goldfarb
Prediction Machines offers an economics-based way to understand artificial intelligence. Joshua Gans, Ajay Agrawal, and Avi Goldfarb examine prediction as a key capability of AI and explain how changes in prediction can influence business choices, technology adoption, and the broader economic role of artificial intelligence.
About This Book
Prediction Machines: The Simple Economics of Artificial Intelligence explores artificial intelligence through an economic perspective.
The book focuses on prediction as a central function of AI and considers how improvements in prediction can affect business decisions.
Joshua Gans, Ajay Agrawal, and Avi Goldfarb present an accessible framework for understanding the economic implications of artificial intelligence.
It is intended for readers interested in business, economics, technology, and the practical significance of AI.
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