How will artificial intelligence and big data analytics affect economies? How are these technologies diffusing around the world? How are firms using artificial intelligence and big data? Are current policies appropriate for these next-generation technologies? This workshop, organized by Georgetown University, the World Bank and Korea Institute for Industrial Economics & Trade, addressed these questions and more, featuring experts from academia, policy institutions, and industry.
9:00-10:00 AM | Welcome and introduction Keynote Speech: The Disruptive Economics of Artificial Intelligence Q&A Moderation by Jonathan Timmis, World Bank |
10:00-11:25 AM | Session A: Trends in AI and Big Data Diffusion
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11:40 AM-1:00 PM
| Session B: Implementation Within Firms and Organizational Change
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2:00-4:00 PM
| Session C: Impacts of AI and Big Data on Productivity
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4:30 - 5:30 PM | Panel Discussion: Policy Implications of Big Data and AI
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KEYNOTE SPEECH
Avi Goldfarb - University of Toronto
The Disruptive Economics of Artificial Intelligence
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SESSION A: Trends in AI and Big Data Diffusion
Flavio Calvino -OECD
A portrait of AI adopters across countries: firm characteristics, asset complementarities and productivity
Katherine Stapleton - World Bank
Global firms and technology diffusion
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Flavio Calvino
Katherine Stapleton
SESSION B: Implementation Within Firms and Organizational Change
Iavor Bojinov - Harvard Business School
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
Jonathan Timmis - World Bank
Capital Incentives and Cloud, Big Data and AI Diffusion
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Iavor Bojinov
Jonathan Timmis
SESSION C: Impacts of AI and Big Data on Productivity
Danbee Song - KIET
AI and Productivity in South Korea
Frederic Warzynski - Aarhus University
AI Adoption in Denmark and Productivity
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Danbee Song
Frederic Warzynski
PANEL DISCUSSION
Mincheol Choi - KIET
Olivia Igbokwe-Curry - Amazon Web Services
Fabio Luzzi - Tapestry
Elina Noor - Asia Program at Carnegie
Scott Wallsten - Technology Policy Institute