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

Keynotes and Panelists


Susan Cantrell, Human Capital Eminence Leader, Vice President of Products, Workforce Strategies, Deloitte Consulting LLP


Tom Mitchell, Founders University Professor, Machine Learning Department, Carnegie Mellon University


Ethan Mollick, Ralph J. Roberts Distinguished Faculty Scholar; Associate Professor of Management; Academic Director, Wharton Interactive, The Wharton School, University of Pennsylvania

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Michael Vennera, EVP & Chief Strategy, Corporate Development & Information Officer at Independence Blue Cross (IBC)


Jing Wang, Head of Center for Analytics and Insights at Vanguard



Laurence Ales, Professor of Economics, Tepper School, Carnegie Mellon University
Title: “AIdiocracy”


David Almog, PhD student, Kellogg School of Management, Northwestern University
Title: “AI Oversight and Human Mistakes: Evidence from Centre Court”

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Matt Beane, Assistant Professor Technology Management, UC Santa Barbara
Title: “Engineering Skill: The Co-Development of AI-Enabled Robots and Career-enhancing Nonprofessional Skill at JointBot”


Sungwoo Cho, PhD student, UCLA
Title: “The Effect of Robot Assistance on Skills


Anil Doshi, Assistant Professor, UCL School of Management (London)
Title: “How Generative AI Affects the Workplace Perceptions and Behavior”


Lukasz Drozd, Economist and Advisor, Federal Reserve Bank, Philadelphia
Title: “Understanding Growth Through Automation: The Neoclassical Perspective”


Anastassia Fedyk, Assistant Professor of Finance, Haas School of Business, University of California-Berkeley
Title: “Artificial Intelligence and Firms’ Systematic Risk”


Morgan Frank, Assistant Professor, Department of Informatics and Networked Systems, University of Pittsburgh
Title: “AI exposure predicts unemployment risk


Anders Humlum, Assistant Professor of Economics, Booth School of Business, University of Chicago
Title: “The Adoption of ChatGPT


Sonia Jaffe, Principal Researcher, Microsoft
Title: “The impact of generative AI on collaboration at work”


Alireza Javadian Sabet, PhD Student, School of Computing and Information, University of Pittsburgh
Title: “Quantifying exposure to Large Language Models in millions of college syllabi”


Xi Kang, Assistant Professor, Owen Graduate School of Business, Vanderbilt University
Title: “Machine Predictions and Causal Explanations: Evidence from a Field Experiment”


Arvind Karunakaran, Assistant Professor of Management Science & Engineering, Stanford University
Title: “Role Redesign in the Wake of Generative AI within Organizations: Paralegals and Junior Attorneys in a Corporate Law Firm”

July 24, 2019 -- MIT's Sloan School of Management. Photo by Caitlin Cunningham Photography.

Katherine Kellogg, Professor of Work and Organization Studies, MIT Sloan School of Management
Title: “Don’t Expect Tech Savvy Juniors to Teach Senior Professionals to Effectively Use Generative AI”


Kevin Lee, PhD student, University of Chicago, Booth School of Business
Title: “Value Aligned Large Language Models


Frank Li, Assistant Professor, Sauder School of Business, University of British Columbia
Title: “Jump Starting the AI Engine: The Complementary Role of Data and Management Practices”


Xueming Luo, Professor, Fox School, Temple University
Title: “From Overwhelmed to Empowered: How Artificial Intelligence Augments Transformational Managers in Employee Training at the Workplace”


Benjamin Manning, PhD student, Sloan School of Management, MIT
Title: “Automated Social Science: A Structural Causal Model-Based Approach


Kristina McElheran, Assistant Professor, University of Toronto
Title: “Digitization, Analytics, and AI in U.S. Manufacturing”


Marina Mendes Tavares, Background Economist, International Monetary Fund
Title: “Gen-AI: Artificial Intelligence and the Future of Work


Yi Ming,  PhD student, University of Southern California
Title: “Complementarity, Vulnerability, and Replacement: Artificial Intelligence in the United States Federal Labor Market”

Terry College of Business Faculty and Staff members have their photos taken on Wednesday, August 30, 2023 in Athens, Ga.

Madhur Mohar, PhD student, University of Georgia
Title: “The Impact of Generative AI on Creative Suppliers’ Product and Pricing Decisions”


Nicholas Otis, PhD Candidate, Berkeley Haas
Title: “The Uneven Impact of Generative AI on Entrepreneurial Performance”


Min-Seok Pang, Professor, University of Wisconsin-Madison
Title: “Automated Enforcement and Traffic Safety”


Nicholas Pangakis, PhD Candidate, University of Pennsylvania
Title: “Automated Data Labeling with Generative AI”


Peter S. Park, MIT AI Existential Safety Postdoctoral Fellow (Tegmark Lab)
Title:AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy


Hatim Rahman, Assistant Professor Kellogg School of Management, Northwestern University
Title: “Beyond Data Collection: Examining Artificial Intelligence Data Creation in Organizations”


Emma Rockall, PhD Candidate, Department of Economics, Stanford University
Title: “AI Adoption and Inequality


David Rothschild, Senior Principal Researcher, Microsoft Research
Title: “Math Education With LLMs: Peril or Promise?


Gregor Schubert, Assistant Professor of Finance, Anderson School of Management, UCLA
Title: “The Labor Impact of Generative AI on Firm Value


Antonios Stamatogiannakis, Assistant Professor of Marketing, IE Business School, IE University
Title: “A Warning for AI Biases at Work: Evidence from 40,000 Conversations with Large Language Models


Hong-Yi TuYe, PhD Candidate, MIT Sloan
Title: “Early Experimental Evidence on the Behavioral Dynamics of Prompt Engineering”


Luca Vendraminelli, Post-Doctoral Researcher, Stanford University
Title: “When Following the Domain Experts Doesn’t Capture Expertise: The Interplay Between Task and Organizational Structure in Impacting AI Development and Use”


Emmanuelle Walkowiak, Vice-Chancellor’s Senior Research Fellow, RMIT University
Title: “Generative AI, O-ring Risks and Work


Lei Wang, Assistant Professor of Information Systems, Penn State University, Smeal College of Business
Title: “The Double-Edged Roles of Generative AI in the Creative Process: Experiments on Design Work”


Nataliya Wright, Assistant Professor of Business, Columbia Business School
Title: “Does AI Cheapen Talk? Evidence From Global Startup and Hiring Contexts


Doron Yeverechyahu, PhD student, Coller School of Management, Tel Aviv University
Title: “The Impact of Large Language Models on Open-Source Innovation: Evidence from GitHub Copilot


Victor Yifan Ye, Research Fellow, Stanford University
Title: “Simulating Endogenous Global Automation


Di Yuan, Post-Doctoral Fellow, Gies College of Business, UIUC
Title: “Backfiring AI? AI Deployment in Workplace”


Eric Zhou, PhD student, Boston University, Questrom School of Business
Title: “Who Expands the Creative Frontier with Generative AI”



Sarah Bana, Assistant Professor of Management Science, Chapman University
Title: “The Impacts of Generative AI on Software Development Productivity”


Nicholas Emery-Xu,  PhD student, Department of Economics, UCLA
Title: “Economic impacts of AI-augmented R&D


Mark Hellsten, PhD Candidate, Aarhus University
Title: “Returns to AI skills”


Thomas Heverin, Teacher Cybersecurity and Ethical Hacking, The Baldwin School
Title: “AI Empowered Novices: From Rational Decisions to Intuitive Decisions to Real World Impacts in Cybersecurity”

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Mengyao Huang, PhD student, Berkeley Haas
Title: “Does Generative AI Lead to Better and More Equal Performances? Evidence from Crowdfunding Platforms”


Jaeyeon Jeong, PhD student, Fox School of Business, Temple University
Title: “Can Generative AI Help Humans Learn? The Ways to Use LLMs in the Learning Process”


Moritz Joerling, Assistant Professor, EM Lyon Business School
Title: “Complementarity Neglect: People prefer advisors with similar abilities instead of AI with complementary abilities”


Bruce W. Lee, SEAS ’26, University of Pennsylvania; Research lead and cofounder, Walnut Research
Title: “Introducing the Nutcracker Framework: Standardizing and Streamlining AI Evaluation”


Devesh Narayanan, PhD student, Stanford University
Title: “Beyond Automation and Augmentation: Examining the Competing Moral Visions of AI in the Workplace”