AI and the Future of Work
Sponsored by AI at Wharton
May 22-23, 2024

Jon M. Huntsman Hall
3730 Walnut Street, 8th Floor
Philadelphia, PA 19104

*Agenda is subject to change.

Wednesday, May 22, 2024

12:00 – 12:30 Registration and Check-in
(boxed lunches provided)
12:30 – 12:40 Introductions: Sonny Tambe
Conference co-chairWelcome Remarks:  Nancy Rothbard
Deputy Dean and David Pottruck Professor of Management
Wharton School, University of Pennsylvania
12:40 – 12:45 Overview: Robert Meyer and Dan Rock
Conference co-chairs
12:45 – 1:20 Keynote: Ethan Mollick
Ralph J. Roberts Distinguished Faculty Scholar
Associate Professor of Management
Academic Director, Wharton Interactive
1:20 – 1:30 Break
1:30 – 2:20 Session 1a Session 1b
Combining AI with Human Expertise
Challenges with LLM Adoption in the Organization
Matt Beane, Assistant Professor of Technology Management, UC Santa Barbara.
“Engineering Skill: The Co-Development of AI-Enabled Robots and Career-enhancing Nonprofessional Skill at JointBot”
Anders Humlum, Assistant Professor of Economics, Booth School of Business, University of Chicago.
The Adoption of ChatGPT
Alex Moehring, PhD student, MIT Sloan School of Management.
Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
Antonios Stamatogiannakis, Assistant Professor of Marketing, IE Business School, IE University.
A Warning for AI Biases at Work: Evidence from 40,000 Conversations with Large Language Models
Luca Vendraminelli, Post-Doctoral Researcher, Stanford University.
“When Following the Domain Experts Doesn’t Capture Expertise: The Interplay Between Task and Organizational Structure in Impacting AI Development and Use”
2:30 – 3:20 Session 2a Session 2b
Managing AI Workflows
How Workers Adjust to LLM Capabilities
Anil Doshi, Assistant Professor, UCL School of Management (London).
“How Generative AI Affects the Workplace Perceptions and Behavior”
Sonia Jaffe, Principal Researcher, Microsoft. “The impact of generative AI on collaboration at work”
Arvind Karunakaran, Assistant Professor of Management Science & Engineering, Stanford University.
“Role Redesign in the Wake of Generative AI within Organizations: Paralegals and Junior Attorneys in a Corporate Law Firm”
Emmanuelle Walkowiak, Vice-Chancellor’s Senior Research Fellow, RMIT University.
Generative AI, O-ring Risks and Work
Xueming Luo, Professor, Fox School, Temple University.
“From Overwhelmed to Empowered: How Artificial Intelligence Augments Transformational Managers in Employee Training at the Workplace”
Doron Yeverechyahu, PhD student, Coller School of Management, Tel Aviv University.
The Impact of Large Language Models on Open-Source Innovation: Evidence from GitHub Copilot
3:30 – 4:10 Session 3a Session 3b
Management Practices that Complement AI Investment
LLMs, Education, and Upskilling
Frank Li, Assistant Professor, Sauder School of Business, University of British Columbia.
Jump Starting the AI Engine: The Complementary Role of Data and Management Practices”
Alireza Javadian Sabet, PhD student, School of Computing and Information, University of Pittsburgh.
“Quantifying exposure to Large Language Models in millions of college syllabi”
Kristina McElheran, Assistant Professor, University of Toronto.
“Digitization, Analytics, and AI in US Manufacturing”
David Rothschild, Senior Principal Researcher, Microsoft Research.
Math Education with LLMs: Peril or Promise?”
Gregor Schubert, Assistant Professor of Finance, Anderson School of Management, UCLA.
The Labor Impact of Generative AI on Firm Value
Hong-Yi TuYe, PhD Candidate, MIT Sloan.
“Early Experimental Evidence on the Behavioral
Dynamics of Prompt Engineering”
4:10 – 4:20 Break
4:20 – 5:00 Keynote: Tom M. Mitchell
Founders University Professor, Machine Learning Department,
Carnegie Mellon University
5:00 – 5:30 Poster Slam
5:30 – 7:00 Reception

Thursday, May 23, 2024

8:30 AM Coffee and Bagels
9:00 – 9:50 Session 4a Session 4b
Combining AI with Human Decision-Making
AI and Economic Growth
Xi Kang, Assistant Professor, Owen Graduate School of Business, Vanderbilt University.
“Machine Predictions and Causal Explanations: Evidence from a Field Experiment”
Lukasz Drozd, Economist and Advisor, Federal Reserve Bank, Philadelphia.
“Understanding Growth Through Automation: The Neoclassical Perspective”
Kevin Lee, PhD student, University of Chicago, Booth School of Business
“Value Aligned Large Language Models
Benjamin Manning, PhD student, Sloan School of Management, MIT.
Automated Social Science: A Structural Causal Model-Based Approach
Peter Park, MIT AI Existential Safety Postdoctoral Fellow (Tegmark Lab).
AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy
Victor Yifan Ye, Research Fellow, Stanford University.
Simulating Endogenous Global Automation
10:00 – 10:50 Session 5a Session 5b
AI and Human Decisions at Work
AI and Unemployment
David Almog, PhD student, Kellogg School of Management, Northwestern University.
AI Oversight and Human Mistakes: Evidence from Centre Court
Morgan Frank, Assistant Professor, Department of Informatics and Networked Systems, University of Pittsburgh.
AI exposure predicts unemployment risk
Sungwoo Cho, PhD student, UCLA.
The Effect of Robot Assistance on Skills
Yi Ming, PhD student, University of Southern California.
“Complementarity, Vulnerability, and Replacement: Artificial Intelligence in the United States Federal Labor Market”
Di Yuan, Post-Doctoral Fellow, Gies College of Business, UIUC.
“Backfiring AI? AI Deployment in Workplace”
Neil Thompson, Director, MIT FutureTech, MIT.
Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?
10:50 – 11:00 Break
11:00 – 11:50 Industry Panel:
Sue Cantrell, Human Capital Eminence Leader, Vice President of Products, Workforce Strategies, Deloitte Consulting LLP
Michael Vennera, EVP & Chief Strategy, Corp Dev & Information Officer, Independence Blue Cross
Bola Ajayi, Director of Data Science, Vanguard
Moderated by Mary Purk, Executive Director, AI at Wharton
12:00 – 1:00 Lunch & Networking
1:00 – 1:50 Session 6a Session 6b
Gen AI and Markets for Creative Work
AI, Startups, and Risk
Madhur Mohar, PhD student, University of Georgia.
“The Impact of Generative AI on Creative Suppliers’ Product and Pricing Decisions”
Anastassia Fedyk, Assistant Professor of Finance, Haas School of Business, University of California-Berkeley.
“Artificial Intelligence and Firms’ Systematic Risk”
Lei Wang, Assistant Professor of Information Systems, Penn State University, Smeal College of Business.
“The Double-Edged Roles of Generative AI in the Creative Process: Experiments on Design Work”
Nicholas Otis, PhD student, Haas School of Business, UC Berkeley.
The Uneven Impact of AI on Entrepreneurial Performance
Eric Zhou, PhD student, Boston University, Questrom School of Business.
“Who Expands the Creative Frontier with Generative AI”
Nataliya Wright, Assistant Professor of Business, Columbia Business School.
Does AI Cheapen Talk? Evidence From Global Startup and Hiring Contexts
2:00 – 2:50 Session 7a Session 7b
LLMs and Knowledge Generation
The AI and Policy Interface
Laurence Ales, Professor of Economics, Tepper School, Carnegie Mellon University.
Marina Mendes Tavares, Background Economist, International Monetary Fund.
Gen-AI: Artificial Intelligence and the Future of Work
Nicholas Pangakis, PhD Candidate, University of Pennsylvania.
“Automated Data Labeling with Generative AI”
Min-Seok Pang, Professor, University of Wisconsin-Madison.
“Automated Enforcement and Traffic Safety”
Hatim Rahman, Assistant Professor Kellogg School of Management, Northwestern University.
“Beyond Data Collection: Examining Artificial Intelligence Data Creation in Organizations”
Emma Rockall, PhD Candidate, Department of Economics, Stanford University.
AI Adoption and Inequality
2:50 – 3:00 Closing Remarks