Prediction Machines: The Simple Economics of Artificial Intelligence, Updated and Expanded

ISBN-13: 9781647824679 / Angielski / Twarda / 2022 / 272 str.

Ajay Agrawal; Joshua Gans; Avi Goldfarb

Recenzje

"It's a must read for economists; it forces us to think more deeply about the essence of AI and its connection to prediction. And it's a must read for the public who need to know the enormous dangers the old/new AI poses to our own and our children's economic futures and freedoms." - Journal of Economic Literature

Advance Praise for Prediction Machines:

"What does AI mean for your business? Read this book to find out." - Hal Varian, Chief Economist, Google

". . . framing AI in terms of its predictive capabilities is not only a realistic portrayal of its capabilities today, but also one that business leaders can both understand and act upon. For that alone the book is worth reading." - Forbes

"This book, written by three brilliant minds from the University of Toronto, is invaluable for business leaders looking for a primer on how AI might impact them." - Business Insider

"A must-read for business leaders who need to know where AI is heading and how best to harness the new technology." - Journal of Economic Literature

"Prediction Machines does a good job of showing where computers work best and where humans still have an edge." - the New York Times

". . . a useful way to look at the fast-changing world of machine learning . . ." - the Financial Times

"Consider it a CEO guide to parsing and prioritizing AI opportunities." - McKinsey Quarterly

"Prediction Machines provides a very accessible and high-level overview of machine learning and the power and limits of the predictions provided by AI algorithms. The book is a must-read for business leaders and executives." - TechTalks

"The authors . . .offer a compelling framework for mapping out the likely impact of AI on economies in the decades ahead." - BlackRock Investment Management

O autorze

Ajay Agrawal is Professor of Strategic Management and the Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto's Rotman School of Management. He is founder of the Creative Destruction Lab and the Metaverse Mind Lab and cofounder of NEXT Canada and Sanctuary.

Joshua Gans is the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship and Professor of Strategic Management at Toronto's Rotman School of Management. He is Chief Economist of the Creative Destruction Lab, department editor (Strategy) at Management Science, and cofounder and managing director of Core Economic Research.

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.