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
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