Power And Prediction: The Disruptive Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb. In a direct follow up to their book Prediction Machines: The Simple Economics of Artificial Intelligence,
Ajay Agrawal is an economics professor at the University of Toronto’s Rotman School of Management as well as the Professor of Strategic Management.
Joshua Gans is a Professor of Strategic Management at the University of Toronto’s Rotman School of Management. Joshua is also Chief Economist of the University of Toronto’s Creative Destruction Lab.
Avi Goldfarb is the Chair in Artificial Intelligence and Healthcare and Professor of Marketing at the Rotman School of Management, University of Toronto. 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. In addition, Avi’s research focuses on the opportunities and challenges of the digital economy.
Ajay, Avi, and Joshua once again are delivering deep insights into AI prediction and the impacts upon business and society are outlined. Both good and bad. In fact, organziations need to fully understand the impacts.
