A review by classictj
Prediction Machines: The Simple Economics of Artificial Intelligence by Joshua Gans, Avi Goldfarb, Ajay Agrawal

5.0

The core of general AI rests in its ability to predict. Decision making at any level requires some form of prediction, thus making AI useful to organizations. Predictions are learned by past examples so historical examples are easy for AI to predict, but anything new is not.

The book is divided into 5 parts; Predictions, Decision Making, Tools, Strategy, and Society, and is viewed from an economics point of view. This is key since it would be viewed from businesses in this way too. The more economic value it brings to a company, the more it will be developed and expanded into society.

I plan to read this book again as I thought its unique approach to AI is spot on and needs a deeper dive. I recommend it to anyone interested in this topic as a realistic view into this technology.