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) |
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| 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 |
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| 12:40 – 12:45 | Overview: Robert Meyer and Dan Rock Conference co-chairs |
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| 12:45 – 1:20 | Keynote: Ethan Mollick Ralph J. Roberts Distinguished Faculty Scholar Associate Professor of Management Academic Director, Wharton Interactive |
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| 1:20 – 1:30 | Break | |
| ROOM A | ROOM B | |
| 1:30 – 2:20 | Session 1a | Session 1b |
Combining AI with Human Expertise |
Challenges with LLM Adoption in the Organization |
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| 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“ |
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| 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“ |
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| 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” |
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| 2:30 – 3:20 | Session 2a | Session 2b |
Managing AI Workflows |
How Workers Adjust to LLM Capabilities |
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| 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“ |
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| 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“ |
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| 3:30 – 4:10 | Session 3a | Session 3b |
Management Practices that Complement AI Investment |
LLMs, Education, and Upskilling |
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| 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” |
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| 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?” |
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| 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” |
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| 4:10 – 4:20 | Break | |
| 4:20 – 5:00 | Keynote: Tom M. Mitchell Founders University Professor, Machine Learning Department, Carnegie Mellon University |
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| 5:00 – 5:30 | Poster Slam | |
| 5:30 – 7:00 | Reception | |
Thursday, May 23, 2024
| 8:30 AM | Coffee and Bagels | |
| ROOM A | ROOM B | |
| 9:00 – 9:50 | Session 4a | Session 4b |
Combining AI with Human Decision-Making |
AI and Economic Growth |
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| 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” |
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| 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“ |
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| 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“ |
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| 10:00 – 10:50 | Session 5a | Session 5b |
AI and Human Decisions at Work |
AI and Unemployment |
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| 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“ |
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| 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” |
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| 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?“ |
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| 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 |
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| 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 |
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| 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” |
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| 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“ |
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| 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“ |
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| 2:00 – 2:50 | Session 7a | Session 7b |
LLMs and Knowledge Generation |
The AI and Policy Interface |
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| Laurence Ales, Professor of Economics, Tepper School, Carnegie Mellon University. “AIdiocracy” |
Marina Mendes Tavares, Background Economist, International Monetary Fund. “Gen-AI: Artificial Intelligence and the Future of Work“ |
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| 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” |
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| 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“ |
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| 2:50 – 3:00 | Closing Remarks | |