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.
Discussion panel “Artificial Intelligence and Machine Learning 101,” from the event “Artificial Intelligence: The Economic and Policy Implications” hosted by the Technology Policy Institute
Speakers:
Colin Allen, Provost Professor of Cognitive Science and History & Philosophy of Science & Medicine, Indiana University and Chair Professor of Philosophy, Xi'an Jiaotong University, Xi'an, China
Kris Hammond, Chief Scientist and co-founder, Narrative Science and Professor of Computer Science, Northwestern University
Jenn Wortman Vaughan, Senior Researcher, Microsoft Research, New York City
Alex Tabarrok (moderator), Bartley J. Madden Chair in Economics and Professor of Economics, George Mason University
1 окт 2024
