Erik Brynjolfsson

Unlike the previous generation of IT that required humans to create code, machine learning is designed to learn patterns specifically from examples. This has opened up a broad new frontier of applications and economic possibilities that are, as yet, largely undeveloped. In this discussion, Erik Brynjolfsson, director of the Stanford Digital Economy Lab, explains how AI is one of the most important technological advances of our era, and how recent progress around AI and machine learning has dramatically increased predictive powers in many areas, including speech recognition, image recognition and credit scoring. For business and government leaders looking to stay ahead of the technological curve, Brynjolfsson recommends strategies for boosting productivity and growth in the midst of a gig economy dominated by remote workers.