AI at Wharton presents the
2nd Annual Business & Generative AI Workshop
sponsored by
September 5-6, 2024
Wharton San Francisco
2 Harrison Street
San Francisco, CA 94105
Building on the success of our 2023 workshop, this research workshop was designed for academics and industry researchers to network and explore innovative ideas and insights into the transformative potential of Generative AI on business models, industries, and global economies. The event featured thought leaders and academics discussing chatbots, market research, using AI to evaluate ideas, healthcare applications, and more.
— Workshop Recordings —
On the Leading Edge: The Importance of Shaping Our Collective AI Future
Erika James
Dean, The Wharton School Reliance Professor of Management and Private Enterprise
James Crowley
Global Products Industry Practices Chair, Global Management Committee, Accenture
The AI Awakening: Implications for Business and the Economy
Erik Brynjolfsson
Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI, and Director of the Stanford Digital Economy Lab.
Conversational AI Impacts Information Learning and Memory – Business & Generative AI
Ada Aka
Assistant Professor of Marketing, Stanford GSB
Biased Echoes: Generative AI Models Reinforce Investment Biases and More
Christian Hildebrand
Professor of Marketing Analytics, Institute of Behavioral Science, University of St. Gallen
Consumer Voice with LLMs: Evidence from Complaint Data in Finance
Minkyu Shin
Assistant Professor, City University of Hong Kong.
Generative Artificial Intelligence and Evaluating Strategic Decisions
Anil Doshi
Assistant Professor, UCL School of Management
Is Social Bot Socializing? Evidence from a Microblogging Platform
Mikhail Lysyakov
Assistant Professor of Computers and Information Systems, University of Rochester
Dbot: Aswath Damodaran’s Analytic Twin
João Sedoc
Assistant Professor, New York University
Decoding Unstructured Text: Enhancing LLM Classification Accuracy with Redundancy and Confidence
Hemant Bhargava
Distinguished Professor, UC Davis
Can LLMs Provides Useful Feedback on Research Papers? A Large-Scale Empirical Analysis
Hancheng Cao
PhD Candidate, Stanford University
AI and the Changing Nature of Journalism
Abhishek Ray
Assistant Professor, Donald G. Costello College of Business, George Mason University
Complementarity Neglect – Failing to Select AI Collaborators with Complementarity
Ye Li
Associate Professor, University of California, Riverside
Gen AI In Action: Bridging the AI Value Gap with Good Data
Shiv Trisal
Global Manufacturing, Transportation & Energy GTM, Databricks.
Modeling and Detecting Company Risks from News
Jiaxin Pei
Postdoctoral Fellow, Stanford University
Reduce Disparity Between LLMs and Humans: Optimal LLM Sample Calibration
Yan Leng
Assistant Professor, University of Texas at Austin
Generating Scientific Hypotheses in Social Sciences with Hypothesis Graphs
Yuan Yuan
Assistant Professor, UC Davis
ChatGPT-Empowered Product Recommendation and Online Word-of-Mouth
Chaoyue Gao
Assistant Professor, University of Science and Technology, China
Generative AI and User-Generated Content: Evidence from Online Reviews
Samsun Knight
Assistant Professor, University of Toronto
The Impact of AI Generated Summaries on Viewer Engagement
Yingda Lu
Assistant Professor, University of Illinois Chicago
The Economics of AI Foundation Models Openness, Competition, & Governance
Wei Chen
Associate Professor, University of Connecticut
Artificial Intelligence for Dirty Jobs in Customer Services
Xueming Luo
Professor, Fox School of Business, Temple University
Using Contextual Embeddings to Predict the Effectiveness of Novel Heterogeneous Treatments
James Reeder III
Assistant Professor of Marketing, KU School of Business, University of Kansas
What People Think of Machines as Doctors: Unveiling the Value of Gen-AI for e-Health
Mehmet Ayvaci
Associate Professor, Jindal School of Management, University of Texas at Dallas
AI-Human Hybrids for Marketing Research Leveraging LLMs as Collaborators
Neeraj Arora
Professor, UW-Madison
GenAI Assistance in a Professional Service Market
Yi Liu
Assistant Professor, University of Wisconsin-Madison
How to Design AI Companions for Human Well-Being: Introducing Sunnie and the STAR Framework
Xuan Zhao
CEO & Co-founder, Flourish Science
The Impact of GitHub Copilot on Labor Market Outcomes for Software Engineers
Matthew Baird
Senior Staff Economist, LinkedIn
Generative AI and Distributed Work: Evidence from Open Source Software
Manuel Hoffmann
Postdoctoral Scholar, Harvard Business School.
The Impact of GitHub Copilot on Labor Market Outcomes for Software Engineers
Franziska Kaiser
PhD Student, HEC Lausanne & BU
Closing the Gap or Giving (More) Power to the Powerful: How and When AI Empowers Employees
Ertugrul Uysal
Postdoctoral Researcher, ETH Zurich
Upskilling Vs. Deskilling Spirals in the Wake of Gen AI within Organizations
Arvind Karunakaran
Assistant Professor, Management Science and Engineering, Stanford University
Artificial Intelligence, Lean Start-up Method, and Product Innovation
Xiaoning Wang
Assistant Professor, University of Texas at Dallas
Working with Ghosts in the Machine: Gen AI and the Dehumanization of Self
Shubin Yu
Associate Professor, BI Norwegian Business School
A Random Walk Modeling Framework for Boosting Creativity of Humans and AI
Shai Vardi
Assistant Professor, Purdue University
AI-Augmented Evaluations of Early Stage Innovations
Léonard Boussioux
Assistant Professor, University of Washington
Designing Human-AI Collaboration
Kartik Hosanagar
John C. Hower Professor, Professor of Operations, Information and Decisions; Faculty Co-Director, AI at Wharton
Industry-Focused Panel
David Schweidel – “Automated Alignment: Engaging Customers with Visual Generative AI”
Professor of Marketing, Emory University.
Dokyun (DK) Lee – “Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina“
Associate Professor, Boston University
Lauren Lu – “Generative AI in Action: Field Experimental Evidence on Worker Performance in E-Commerce Customer Service Operations“
Professor of Business Administration, Dartmouth College, Tuck School of Business.
Kartik Hosanagar
John C. Hower Professor, Professor of Operations, Information and Decisions; Faculty Co-Director, AI at Wharton
— Hosted by Wharton Faculty —
Kartik Hosanagar
John C. Hower Professor
Professor of Operations, Information and Decisions
Faculty Co-Director, AI at Wharton
Stefano Puntoni
Sebastian S. Kresge Professor of Marketing
Professor of Marketing
Faculty Co-Director, AI at Wharton
Lynn Wu
Associate Professor of Operations, Information and Decisions
The Wharton School
— Workshop Event Team —
Carol Heller
Program Coordinator,
AI at Wharton
Mary Purk
Executive Director,
AI at Wharton
Zoe Seznec Sweetland
Associate Director,
Analytics at Wharton