Prediction Machines by Joshua Gans highlighted in this Bloomberg piece
Joshua Gan's book was mentioned for the piece "Artificial Intelligence Still Isn’t All That Smart."
❝ A few economists have tried to provide some preliminary answers. In their book “Prediction Machines: The Simple Economics of Artificial Intelligence,” Ajay Agrawal, Joshua Gans and Avi Goldfarb — three researchers who have made the economics of machine learning their specialty — try to provide an answer. Since the technology is both so enormously broad and so new, their answer is inevitably highly speculative and general — consider trying to predict the implications of the steam engine in 1800, or the internet in 1992. But considering the scope of their task, Agrawal et al. do an excellent job. [Bloomberg.com]
| JOSHUA GANS is an expert on A.I. & disruptive strategy, & author of Prediction Machines: The Simple Economics of Artificial Intelligence. Watch him delve into the world of artificial intelligence below, and learn more about booking Joshua for your next event today. |
