Past Events

AI and Innovation Workshop

November 5, 2025

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

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

2:30-4:10 PM

Session A: Academic Presentations and Discussion

Setting the scene: Flavio Calvino, OECD

Academic presentations and discussions by:

Charles Ayoubi, ESSEC Business School, “Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations”
Roisin Donnelly, Tilburg University, “The Generation and Diffusion of Artificial Intelligence (AI) Around the World”
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?”

Moderated by Chiara Criscuolo, World Bank Group

4:25-5:25 PM

Roundtable Discussion

Cecilia Caliandro, Analysis Group
Cécile Huet, European Commission
Fabio Luzzi, Tapestry Inc
Danbee Song, Korea Institute for Industrial Economics and Trade

Moderated by Cher Li, Aston Business School

5:25-5:30

Closing remarks by Flavio Calvino, OECD, and Timothy DeStefano, Georgetown University

AI and Innovation Workshop

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:

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

Teddy Bekele, Chief Technology Officer, Land O’Lakes
Sowmya Gottipati, Head of Global Supply Chain Technology, Estée Lauder
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

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

10:05-11:20 AM

Theme A: How Will AI Affect Existing Jobs?

Academic presentations and discussions by:

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.

11:40 AM-12:30 PM

Theme A: Industry discussions on How AI Will Affect Existing Jobs

Teddy Bekele, Chief Technology Officer, Land O’Lakes
Sowmya Gottipati, Head of Global Supply Chain Technology, Estée Lauder
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:

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

3:00-4:00 PM

Theme B: Industry discussions on AI’s Impact on New Jobs and Skills

Brandon Karpf, Vice President of Programming, N2K Networks
Karin Kimbrough, Chief Economist, LinkedIn
Katia Walsh, Chief Digital Officer, Harvard Business School

Moderator: Sam Ransbotham, Professor of Business Analytics, Boston College

4:30-5:25 PM

Theme C: What are the different approaches to AI regulation around the world? How should we best regulate AI?

Anu Bradford, Henry L. Moses Professor of Law and International Organization, Columbia Law School
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

Academic Presentations

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

Brandon Karpf, Vice President of Programming, N2K Networks
Karin Kimbrough, Chief Economist, LinkedIn
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?

Anu Bradford, Henry L. Moses Professor of Law and International Organization, Columbia Law School
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

Jobs in the Age

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.

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

Watch Here

Session A - AI and Healthcare

Marius Linguraru, Professor and Endowed Chair of Research and Innovation, Children’s National Hospital
Nawar Shara, Director, MedStar Health Research Institute
Nikhil Sahni, Partner, Healthcare, McKinsey and Company
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

Session B - AI and Retail Services

Fabio Luzzi, Chief Data and Analytics Officer, Tapestry
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

Shervin Khodabandeh, Co-Lead, Boston Consulting Group's AI business in North America
Ness Shroff, Director, AI Edge Institute at Ohio State University
Matthew Wilding, Co-Lead Digital & Artificial Intelligence Program, U.S. Steel

Moderator: Sam Ransbotham, Professor of Business Analytics, Boston College

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

Carol Corrado, Distinguished Principal Research Fellow, Conference Board & Senior Policy Scholar at Georgetown University
Olivia Igbokwe-Curry, Head of US Congressional and Political Affairs, Amazon Web Services
Scott Wallsten, President and Senior Fellow, The Technology Policy Institute
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

2023: Firms

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.

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

10:00-11:25 AM

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:
AI and services-led growth: Evidence from Indian job adverts

11:40 AM-1:00 PM

Session B: Implementation Within Firms and Organizational Change

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

2:00-4:00 PM

Session C: Impacts of AI and Big Data on Productivity

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

4:30-5:25 PM

Panel Discussion: Policy Implications of Big Data and AI

Mincheol Choi (KIET)
Avi Goldfarb (University of Toronto)
Olivia Igbokwe-Curry (Amazon Web Services)
Fabio Luzzi (Tapestry)
Elina Noor (Carnegie Endowment)
Scott Wallsten (Technology Policy Institute)

Big Data

Past Events

AI and Innovation Workshop

Agenda

Recordings coming soon!

Jobs in the Age of AI

Academic Presentations

Industry Discussion

Agenda

Academic Presentations

Industry Discussion

What are the different approaches to AI regulation around the world? How should we best regulate AI?

Keynote Address

Selected Books

How is AI Transforming Firms?

Keynote Address

Agenda

AI and Manufacturing

AI Diffusion Roundtable

AI and Retail

AI and Health

AI, Big Data, and Policy

Presentations and Materials

Flavio Calvino - OECD

Katherine Stapleton - World Bank

Agenda

Presentations and Materials

Iavor Bojinov - Harvard Business School

Jonathan Timmis - World Bank

Presentations and Materials

Danbee Song - KIET

Frederic Warzynski - Aarhus University

Panel Discussion

Keynote Address

Avi Goldfarb - University of Toronto