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Past Events
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Making AI Work: What Firms and Workers Need
January 26, 2026​
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How can artificial intelligence empower firms and workers in practice – not just in theory? The Center for Business and Public Policy at Georgetown’s McDonough School of Business was pleased to co-host the Fifth AI in Action Conference, Making AI Work: What Firms and Workers Need, with the World Bank – bringing together leading scholars, policymakers, and industry practitioners to explore how AI is reshaping work, skills, data governance, and firm organization.
Agenda
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Keynote Address: Raffaella Sadun, Harvard Business School, “Management and Reskilling in the Age of AI"
Moderated by Tim DeStefano, Georgetown University
AI and Innovation Workshop
November 5, 2025
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How will AI transform innovation? Who will benefit? How should policy adapt? This event brought together experts to delve into these questions and more at the OECD in Paris, France.
Agenda
12:00-12:05 PM
Welcome and Introduction by Jerry Sheehan, OECD
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12:05-1:00 PM​​
Keynote Address by Ajay Agrawal, University of Toronto, Rotman School of Management,
“The Power of Prediction: How AI is Redefining Innovation”
Moderated by Timothy DeStefano, Georgetown University
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2:30-4:10 PM
Session A: Academic Presentations and Discussion
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Setting the scene: Flavio Calvino, OECD
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Academic presentations and discussions by:
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Charles Ayoubi, ESSEC Business School, “Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations”
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Roisin Donnelly, Tilburg University, “The Generation and Diffusion of Artificial Intelligence (AI) Around the World”
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Cecilia Jona-Lasinio, LUISS Business School, “AI as an Innovation in the Method of Innovation: Implications for Productivity Growth in the
US and Europe” -
Hila Lifshitz, Warwick Business School, “Would Archimedes Shout Eureka if He Had AI?”
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Moderated by Chiara Criscuolo, World Bank Group
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4:25-5:25 PM
Roundtable Discussion
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Cecilia Caliandro, Analysis Group
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Cécile Huet, European Commission
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Fabio Luzzi, Tapestry Inc
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Danbee Song, Korea Institute for Industrial Economics and Trade
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Moderated by Cher Li, Aston Business School​​
5:25-5:30
Closing remarks by Flavio Calvino, OECD, and Timothy DeStefano, Georgetown University
Recordings coming soon!
Jobs in the Age of AI
September 4, 2024
How will AI transform the job market? What new skills will workers need? What should be the role for regulation? This event brought together industry leaders, researchers, and policymakers to delve into these questions.
Academic Presentations
Academic presentations and discussions by:
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Lee Branstetter, Carnegie Mellon University
Quantifying the Impact of AI on Productivity and Labor Demand: Evidence from U.S. Census Microdata -
Manuel Hoffmann, Harvard Business School
Generative AI and Distributed Work: Evidence from Open-Source Software -
Sam Manning, Centre for the Governance of AI
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
Industry Discussion
Theme A: Industry discussions on How AI Will Affect Existing Jobs
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Teddy Bekele, Chief Technology Officer, Land O’Lakes
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Sowmya Gottipati, Head of Global Supply Chain Technology, Estée Lauder
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JoAnn Stonier, Chief Data Officer, Mastercard
Moderator: Sam Ransbotham, Professor of Business Analytics, Boston College
Agenda
9:00-10:00 AM
Welcome and introduction by Timothy DeStefano, Associate Professor of Research, Georgetown University
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Keynote Address by Carl Benedikt Frey, Dieter Schwarz Professor of AI and Work at the Oxford Internet Institute
“AI and The Future of Work: Lessons from History”
Q&A moderator: Jonathan Timmis, Senior Economist, World Bank
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10:05-11:20 AM
Theme A: How Will AI Affect Existing Jobs?
Academic presentations and discussions by:
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Lee Branstetter, Carnegie Mellon University
Quantifying the Impact of AI on Productivity and Labor Demand: Evidence from U.S. Census Microdata -
Manuel Hoffmann, Harvard Business School
Generative AI and Distributed Work: Evidence from Open-Source Software -
Sam Manning, Centre for the Governance of AI
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
Moderator: Carl Benedikt Frey, Dieter Schwarz Professor of AI and Work at the Oxford Internet Institute.
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11:40 AM-12:30 PM
Theme A: Industry discussions on How AI Will Affect Existing Jobs
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Teddy Bekele, Chief Technology Officer, Land O’Lakes
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Sowmya Gottipati, Head of Global Supply Chain Technology, Estée Lauder
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JoAnn Stonier, Chief Data Officer, Mastercard
Moderator: Sam Ransbotham, Professor of Business Analytics, Boston College​​
1:45-3:00 PM
Theme B: Will AI Create New Jobs and Skills?
Academic presentations and discussions by:
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Kris Mikel-Hong, Renmin University
When Advanced AI Isn't Enough: Human Factors as Drivers of Success in Generative AI-Human Collaborations -
Raveesh Mayya, New York University
The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot -
Carlo Pizzinelli, International Monetary Fund
Exposure to Artificial Intelligence and Occupational Mobility: A Cross-Country Analysis
Moderator: Katherine Stapleton, Economist, World Bank
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3:00-4:00 PM
Theme B: Industry discussions on AI’s Impact on New Jobs and Skills
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Brandon Karpf, Vice President of Programming, N2K Networks
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Karin Kimbrough, Chief Economist, LinkedIn
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Katia Walsh, Chief Digital Officer, Harvard Business School
Moderator: Sam Ransbotham, Professor of Business Analytics, Boston College
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4:30-5:25 PM
Theme C: What are the different approaches to AI regulation around the world? How should we best regulate AI?
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Anu Bradford, Henry L. Moses Professor of Law and International Organization, Columbia Law School
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Angela Zhang, Associate Professor of Law, Director of Philip K.H. Wong Centre for Chinese Law, HKU and Professor of Law, University of Southern California
Moderator: Scott Wallsten, President and Senior Fellow, The Technology Policy Institute
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Academic Presentations
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Kris Mikel-Hong, Renmin University
When Advanced AI Isn't Enough: Human Factors as Drivers of Success in Generative AI-Human Collaborations -
Raveesh Mayya, New York University
The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot -
Carlo Pizzinelli, International Monetary Fund
Exposure to Artificial Intelligence and Occupational Mobility: A Cross-Country Analysis
Moderator: Katherine Stapleton, Economist, World Bank
Industry Discussion
Theme B: Industry discussions on AI’s Impact on New Jobs and Skills
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Brandon Karpf, Vice President of Programming, N2K Networks
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Karin Kimbrough, Chief Economist, LinkedIn
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Katia Walsh, Chief Digital Officer, Harvard Business School
Moderator: Sam Ransbotham, Professor of Business Analytics, Boston College
What are the different approaches to AI regulation around the world? How should we best regulate AI?
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Anu Bradford, Henry L. Moses Professor of Law and International Organization, Columbia Law School
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Angela Zhang, Associate Professor of Law, Director of Philip K.H. Wong Centre for Chinese Law, HKU and Professor of Law, University of Southern California
Moderated by Scott Wallsten, President and Senior Fellow, The Technology Policy Institute
Keynote Address
by Carl Benedikt Frey, Dieter Schwarz Professor of AI and Work at the Oxford Internet Institute
“AI and The Future of Work: Lessons from History”
Selected Books
Angela Zhang
Highwire: How China Regulates Big Tech and Governs its Economy
Anu Bradford
Digital Empires: The Global Battle to Regulate Technology
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How is AI Transforming Firms?
December 12, 2023
How is AI being used by firms? What is the impact? What are the impediments to the use of AI?
This second conference in our AI in Action Series addressed these questions and more, featuring experts from industry, academia and policy institutions.
Keynote Address
by Prof. Catherine Tucker, Professor, MIT Sloan
AI & Exclusion: The Fragility of Prediction to Missing Data"​​
Agenda
Welcome and Introduction by Aaditya Mattoo, Chief Economist, World Bank East Asia and Pacific Region
Keynote Address - AI and Exclusion: The Fragility of Prediction to Missing Data
by Catherine Tucker (MIT Sloan)
Moderator: Timothy DeStefano, Associate Professor of Research, Georgetown University
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Session A - AI and Healthcare
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Marius Linguraru, Professor and Endowed Chair of Research and Innovation, Children’s National Hospital
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Nawar Shara, Director, MedStar Health Research Institute
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Nikhil Sahni, Partner, Healthcare, McKinsey and Company
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Catherine Tucker, Sloan Distinguished Professor of Management Science and Professor of Marketing, MIT Sloan
Moderator: Peter McGarvey, Director of Innovation Center for Biomedical Informatics and Professor of Biomedical Informatics, Georgetown University
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Session B - AI and Retail Services
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Fabio Luzzi, Chief Data and Analytics Officer, Tapestry
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Prakhar Mehrotra, Vice President of Machine Learning, Walmart
Moderator: Shervin Khodabandeh, Co-Lead, Boston Consulting Group's AI business in North America ​
Session C - AI and Manufacturing
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Shervin Khodabandeh, Co-Lead, Boston Consulting Group's AI business in North America
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Ness Shroff, Director, AI Edge Institute at Ohio State University
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Matthew Wilding, Co-Lead Digital & Artificial Intelligence Program, U.S. Steel
Moderator: Sam Ransbotham, Professor of Business Analytics, Boston College
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Session D - Roundtable on how to better measure AI diffusion and its impacts within firms and how policy can help firms fully benefit from the technology
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Carol Corrado, Distinguished Principal Research Fellow, Conference Board & Senior Policy Scholar at Georgetown University
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Olivia Igbokwe-Curry, Head of US Congressional and Political Affairs, Amazon Web Services
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Scott Wallsten, President and Senior Fellow, The Technology Policy Institute
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Nikolas Zolas, Senior Economist, Center for Economic Studies at the US Census Bureau
Moderator: Sam Ransbotham, Professor of Business Analytics, Boston College​
Closing Remarks: Jonathan Timmis, Senior Economist, World Bank​
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AI and Manufacturing
​with Shervin Khodabandeh (Boston Consulting Group), Ness Shroff (AI Edge Institute at Ohio State University), Matthew Wilding (U.S. Steel) and Sam Ransbotham (Boston College)
AI Diffusion Roundtable
with Carol Corrado (Georgetown University), Olivia Igbokwe-Curry (Amazon Web Services), Scott Wallsten (The Technology Policy Institute), Nikolas Zolas (Center for Economic Studies at the US Census Bureau) and Sam Ransbotham (Boston College)
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AI and Retail
with Fabio Luzzi (Tapestry), Prakhar Mehrotra (Walmart) and Shervin Khodabandeh (Boston Consulting Group)
AI and Health
with Marius Linguraru (Children's National Hospital), Nawar Shara (MedStar Health Research Institute), Nikhil Sahni (McKinsey and Company), Catherine Tucker (MIT Sloan) and Peter McGarvey (Georgetown University)
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AI, Big Data, and Policy
May 17, 2023
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.
Presentations and Materials
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
Agenda
9:00-10:00 AM
Welcome and introduction by Tim DeStefano, Georgetown University
Keynote Speech: The Disruptive Economics of Artificial Intelligence
Avi Goldfarb, University of Toronto
Q&A Moderation by Jonathan Timmis, World Bank
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10:00-11:25 AM
Session A: Trends in AI and Big Data Diffusion
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Flavio Calvino, OECD:
A portrait of AI adopters across countries: firm characteristics, asset complementarities and productivity -
Katherine Stapleton, World Bank:
AI and services-led growth: Evidence from Indian job adverts​
11:40 AM-1:00 PM
Session B: Implementation Within Firms and Organizational Change
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Jonathan Timmis, World Bank:
Capital Incentives and Cloud, Big Data and AI Diffusion -
Iavor Bojinov, Harvard Business School:
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
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2:00-4:00 PM
Session C: Impacts of AI and Big Data on Productivity
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Carol Corrado, Georgetown University:
Data, Intangible Capital, and Productivity -
Danbee Song, Korea Institute for Industrial Economics & Trade:
AI and Productivity in South Korea -
Frederic Warzynski, Aarhus University:
AI Adoption in Denmark and Productivity
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4:30-5:25 PM
Panel Discussion: Policy Implications of Big Data and AI
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Mincheol Choi (KIET)
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Avi Goldfarb (University of Toronto)
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Olivia Igbokwe-Curry (Amazon Web Services)
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Fabio Luzzi (Tapestry)
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Elina Noor (Carnegie Endowment)
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Scott Wallsten (Technology Policy Institute)
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Presentations and Materials
Iavor Bojinov - Harvard Business School
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development​
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Jonathan Timmis - World Bank
Capital Incentives and Cloud, Big Data and AI Diffusion
Presentations and Materials
Danbee Song - KIET
AI and Productivity in South Korea
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Frederic Warzynski - Aarhus University
AI Adoption in Denmark and Productivity
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
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Keynote Address
Avi Goldfarb - University of Toronto​
The Disruptive Economics of Artificial Intelligence
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