Wharton Human-AI Research presents the
3rd Annual Business & Generative AI Conference
sponsored by
September 4–5, 2025
Wharton San Francisco
2 Harrison Street
San Francisco, CA 94105
This research conference brought together academics and industry researchers to connect, collaborate, and explore bold ideas at the intersection of Generative AI and global business transformation. Through focused discussions on new research and innovative thinking, the conference examined how GenAI is reshaping business models, industries, and economies worldwide.
— Conference Recordings —
Beyond the AI Hype – Lessons from the Frontlines of Enterprise Reinvention
Lan Guan, Chief AI Officer, Accenture
AI Transformation: From Technical Capability to Business Value
Jon Jones, Chief Revenue Officer, CoreWeave
Information-Seeking from AI Chatbots
Behnaz Bojd, Assistant Professor, UC Irvine
Breaking News and Filter Bubbles
Heeseung Andrew Lee, Assistant Professor, University of Texas at Dallas
Large Language Models Polarize Ideologically
Gavin Wang, Assistant Professor, University of Texas at Dallas
Authenticity in the Age of AI Music
Yunfei Wang, PhD Candidate, Robert H. Smith School of Business, University of Maryland
Beyond Fluency – A Process Centric Analysis of Human AI
Ruben R. Salas, PhD Student, Wharton School, University of Pennsylvania
AI Assistance Can Decrease Motivation to Improve Cognitive Skills
Noah Castelo, Associate Professor, University of Alberta
Mitigating Spoken Language Barriers in AI-Assisted Programming: Evidence from a Field Experiment
Raveesh Mayya, Assistant Professor of Technology, NYU Stern School of Business
Managing Online Toxicity: How AI-Enabled Empathic Support Transforms Consumer Coping Behaviors
Anouk Bergner, Assistant Professor of Marketing, Geneva School of Economics and Management, University of Geneva
Can AI Make Us Happier? A Randomized Experiment on AI’s Emotional Impact
Fangchen Song, PhD Student, McCombs School of Business, The University of Texas at Austin
Managing Beyond Myopia: Evidence from a Field Experiment with Generative AI Agents
Wajeeha Ahmad, PhD Candidate, Management Science and Engineering, Stanford University
The Generative AI – Gender Puzzle
Manuel Hoffmann, Assistant Professor, University of Irvine, California
Large AI Models in Academia: Boosting Productivity or Deepening the Gap
YoungJin Kwon, PhD Student, University of Minnesota
Better Together: Quantifying the Benefits of Human-AI Collaboration in Recruitment
Ada Aka, Assistant Professor of Marketing, Stanford Graduate School of Business
Modeling the Interviewer: Leveraging LLMs to Uncover Personality Mismatch Effects
Rachit Kamdar, PhD Candidate, R. H Smith School of Business, University of Maryland
AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
Jiannan Xu, PhD Candidate, Robert H. Smith School of Business, University of Maryland
Will Generative AI Replace Human Creatives? Insights from Financial Economics
Jiasun Li, Robert Johnston Endowed Professorship and Associate Professor of Finance, George Mason University
The Impact of Generative AI on Freelancer Job Preferences and Bidding Behaviors
Pearl (Peiyan) Yu, Assistant Professor, Terry College of Business, University of Georgia
Augmenting Human Survey Responses with Generative AI
José Ramón Enríquez, Postdoctoral Fellow, Stanford University
AI Pricing: The Value-Revenue Paradox
Hemant Bhargava, Distinguished Professor, UC Davis; Director, Center for Analytics and Technology in Society
Developing and Validating an AI-Powered Interview Platform
Shubin Yu, Associate Professor of Marketing, HEC Paris
Fairshare Data Pricing via Data Valuation for Large Language Models
Luyang Zhang, PhD Student, Carnegie Mellon University.
The Economics of Fine-Tuning: Pricing and Regulation for the AI Supply Chain
Amit Mehra, Professor, Information Systems, University of Texas at Dallas
Working with AI: Measuring the Applicability of Generative AI to Occupations
Kiran Tomlinson, Senior Researcher, Microsoft Research
Organizational Technology Ladders: Remote Work and Generative AI Adoption
Gregor Schubert, Assistant Professor of Finance, UCLA Anderson School of Management
Narrative AI and the Human-AI Oversight Paradox in High-Stakes Evaluation
Leonard Boussioux, Assistant Professor, University of Washington (Foster); Laboratory for Innovation Science at Harvard
Exposure, Readiness, and Firm Valuation of Generative AI
Haonan Yin, PhD Candidate, University of California – Irvine
Experimentation in the Age of Generative AI: Evidence from ChatGPT
Andrea Contigiani, Assistant Professor, Fisher College of Business, Ohio State University
Generative AI, Open Source, and Application-Layer Product Development
Yi Liu, Assistant Professor of Marketing, University of Wisconsin – Madison
AKAP: A Multi-Agent Framework for Enterprise Strategic Knowledge Asset Management
Andrew Gu, Machine Learning Engineer, Founder, i-Space Institute and theklangers.com
Goodman Gu, Director of AI, Adobe Inc.
Multi-Dimensional Summarization Agents with Context-Aware Reasoning over Enterprise Tables
Amit Dhanda, Senior Applied Scientist, Amazon
Aligning LLM Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach
Wei Lu, Assistant Professor of Marketing, CUNY Baruch College, Zicklin School of Business
When Data Can’t Flow Upstream: Implications of Restricting API Data for Model Training
Yi Gao, Assistant Professor, Rawls College of Business, Texas Tech University
Understanding Effects of LLM Information Framing
Sakshi Korde, PhD Candidate, Wilfrid Laurier University
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
Xiyang Hu, Assistant Professor, Arizona State University
Fragile Preferences: A Deep Dive into Order Effects in Large Language Models
Shai Vardi, Assistant Professor, University of South Florida
Improving Farm Productivity and Technology Adoption Through LLM-Powered Digital Advisory
Canberk Ucel, Assistant Professor, ESSEC Business School
Navigating the Frontier of Artificial Intelligence via Agentic Taxonomy Induction
Zhaoqi Cheng, Assistant Professor, Worcester Polytechnic Institute; Mario Leccese, Assistant Professor, Boston University
Agentic AI and Managers’ Analytics Capabilities: An Exploration
Ravi Bapna, Professor, Carlson School of Management, University of Minnesota
Twin-2K-500: A Dataset for Building Digital Twins
George Gui, Assistant Professor, Columbia Business School
Managing the Machine: Does Organization Theory Matter When Managing AI Agents?
Prasanna (Sonny) Tambe, Professor of Operations, Information and Decisions, Wharton School, University of Pennsylvania
Predicting Behaviors with LLM-Powered Digital Twins of Customers
Shane Wang, Professor of Marketing, Virginia Tech
A Digital Twin for Mall Consumer Behavior
He Sun, Postdoctoral Research Associate, Yale School of Management
How Disruptive Will Generative AI Be? A Micro-Level Analysis of Evidence and Expectations
Michael G. Jacobides, Sir Donald Gordon Professor of Entrepreneurship & Innovation and Professor of Strategy, London Business School
To Err Is Human; To Annotate, SILICON? Reducing Measurement Error in LLM Annotation
João Sedoc, Assistant Professor, Stern School of Business, New York University
Roles of AI in Collaboration with Humans: Automation, Augmentation and the Future of Work
Alok Gupta, Professor, Carlson School of Management, University of Minnesota
Do LLMs’ Generative Capabilities Boost Creativity?
Anjana Susarla, Omura Saxena Professor of Responsible AI, Michigan State University