Benjamin Shiller is an Associate Professor of Economics at Brandeis University, a CESifo research affiliate, and a leading expert on the economics of technological change. His research- spanning self-driving vehicles, personalized pricing, data privacy, and digital distribution-has been featured in The Economist, The Washington Post, Forbes, The Atlantic, and other major outlets, and has informed White House Policy Reports. He holds a Ph.D. from The Wharton School and has previously held positions at Harvard Business School and the National Bureau of Economic Research's Economics of Digitization Program.
""Concise, chatty, companionable, ever-so-savvy. There may be a more useful guide to AI out there, but why incur the opportunity cost of searching for it? The first three pages should sell you on this one. I decline most blurb requests but, having covered AI from the jump, this is as good as it gets.""-Paul Solman, (very) longtime Business & Economics Correspondent, PBS News Hour ""This book represents the best in bringing real research to understand what is happening in our current AI-moment. ... An easy and informative read.""-Joshua Gans, University of Toronto, author of Prediction Machines, Power and Prediction, and The Microeconomics of Artificial Intelligence ""Concise, chatty, companionable, ever-so-savvy. There may be a more useful guide to AI out there, but why incur the opportunity cost of searching for it? The first three pages should sell you on this one. I decline most blurb requests but, having covered AI from the jump, this is as good as it gets."" -Paul Solman, (very) longtime Business & Economics Correspondent, PBS News Hour ""This book represents the best in bringing real research to understand what is happening in our current AI-moment. ... An easy and informative read."" - Joshua Gans, University of Toronto, author of Power and Prediction and The Microeconomics of Artificial Intelligence.