I am joined by Professor Joshua Gans, co-author of the new book Power and Prediction – The Disruptive Economics of Artificial Intelligence. Artificial Intelligence is promising to disrupt many businesses and industries. While there is huge potential, we are currently in the “between times”, just before the true, system-wide disruption is going to occur.
Fei-Fei Li, director of Stanford Artificial Intelligence Laboratory, and Lei Zhang, chairman and CIO of Hillhouse Capital Management, discuss with Paul Oyer, an economics professor at the Graduate School of Business, the current research and development in the field of artificial intelligence, as well as future implementations into daily life, at the Stanford China Economic Forum in Beijing, on September 8, 2018.
Artificial intelligence and machine learning are becoming part of the economy in ways we could only imagine a decade ago. From self-driving cars to robots, the rapid growth of AI creates tremendous potential opportunities to increase productivity and economic growth. Panelists at the event discussed how computer scientists design and implement AI as well as how it is being incorporated into diverse fields and applications, including the current FCC spectrum auction, the digital humanities and image recognition. Participants also explored the policy implications of incorporating AI into these activities. Machine Learning, Government, and Policy Analysis Keynote by Susan Athey, Economics and Technology Professor, Stanford University Graduate School of Business, from the event “Artificial Intelligence: The Economic and Policy Implications” hosted by the Technology Policy Institute