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Avi Goldfarb on "Prediction Machines: The Simple Economics of Artificial Intelligence"

4:15-4:59pm check-in: 5:00pm sharp to 6:00pm book talk; 6:00-7:00pm drinks reception, book sale and signing

Event Details

Speaker Series

Date: Tuesday October 30, 2018 | 05:00 PM - 07:00 PM
Speaker(s): Avi Goldfarb, Rotman Chair in Artificial Intelligence and Healthcare and Professor of Marketing, Rotman; Chief Data Scientist, Creative Destruction Lab, Rotman; Co-Author
Topic: "Prediction Machines: The Simple Economics of Artificial Intelligence" (Harvard Business Review Press, 2018 by A. Agrawal, J. Gans, A. Goldfarb)
Venue: Desautels Hall (Second floor, South Building) | map
Rotman School of Management, U of Toronto,
105 St George Street
Location: Toronto
Cost: $38.99 plus HST per person (includes 1 hardcover copy of "Prediction Machines", 1 seat for the talk and the reception)
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BOOK SYNOPSIS: 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.

BIOGRAPHY: Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing at Rotman. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. His research on the economics of technology has been discussed in White House reports, Congressional testimony, European Commission documents, The Economist, The Globe and Mail, National Post, CBC Radio, National Public Radio, Forbes, The Atlantic, The New York Times, The Financial Times, The Wall Street Journal, and elsewhere. Along with Ajay Agrawal and Joshua Gans, Avi is the author of The Globe and Mail bestselling book “Prediction Machines: The Simple Economics of Artificial Intelligence”.

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