Business & Generative AI Conference Agenda

Faye Iosotaluno, President & COO, Entangled Publishing; former CEO, Tinder

Loujaina Abdelwahed, Head of Economic Research, Revelio Labs.
How Do Workers Feel About AI in the Workplace?

Arvind Karunakaran, Assistant Professor of Management Science & Engineering, and Sociology, Stanford University.
Managing Worker Negative Consequences Associated with Generative AI Experimentalist Work

Fangchen Song, PhD Candidate, University of Texas at Austin.
Better AI, Less Human Value Added? Evidence from a Large-Scale Field Experiment with Early-Career Knowledge Workers

Siyuan Jin, PhD Candidate, HKUST Business School.
Codified Expertise: How Generative AI Changes Temporal Coordination in Distributed Teams

Gavin Wang, Assistant Professor, Daniels School of Business, Purdue University.
From Build to Learn: How Generative AI Reshapes Product Experimentation

Eric Zheng, Professor, University of Texas at Dallas.
Causal Value Attribution of Marketing Skills in LLM-Generated Ads: A Deconfounder Approach

Jesse Silbert, Postdoctoral Research Associate, MIT FutureTech.
Making Talk Cheap: Generative AI and Labor Market Signaling

K. Sudhir, James L. Frank Professor of Private Enterprise and Management, Yale University.
The Production-to-Orchestration Shift: How Generative AI Reorganizes Knowledge Work

Fangyan Wang, PhD Candidate, Daniels School of Business, Purdue University.
Generative AI and the Reorganization of Labor Demand

Léonard Boussioux, Assistant Professor, Foster School of Business, University of Washington.
One Tool, One Taste? Vibe Coding and the Homogenization of the Visual Web

Chaoran Liu, Assistant Professor, Peking University (UK Campus).
Generative AI and Content Homogenization: The Case of Digital Marketing

Lan Luo, Assistant Professor of Marketing, Yale School of Management.
How Visual Designs Drive Success: Interpretable Generative AI for Data-Driven Design

Mengjie (Magie) Cheng, Assistant Professor, McCombs School of Business, University of Texas at Austin.
Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs

Benjamin Lira, Postdoctoral Research Associate, The Wharton School, University of Pennsylvania.
Synthetic Contact with AI Reduces Cross-Partisan Animosity

Hangcheng Zhao, Assistant Professor of Marketing, Rutgers University.
Strategic Response of News Publishers to Generative AI

Hancheng Cao, Assistant Professor, Goizueta Business School, Emory University.
Generative AI, Lean Curation, and the Redesign of Innovation Evaluation

Abhishek Nagaraj, Associate Professor, Haas School of Business, UC Berkeley.
Kenny Wongchamcharoen, Research Assistant, Haas School of Business, UC Berkeley.
CentaurBench: Benchmarking LLM Augmentation on Occupational Tasks

Tong Wang, Assistant Professor, Yale University.
From What Works to Why It Works: Knowledge-Guided Fine-Tuning for Content Generation

Hyunso Kim, Research Fellow, SNU Business School, Seoul National University.
Generative AI Fuels Solo Entrepreneurship, but Teams Still Lead at the Top

Xueming Luo, Professor, Temple University, Fox School of Business.
Can Empathy Lead to Sales in Influencer Marketing? Multimodal AI Learning of TikTok Videos

Ruizhi Zhu, Associate Professor, Faculty of Business for SciTech, University of Science and Technology of China.
The Effect of AI on Marketing Employment: Evidence from 110m+ Online Employment Records

Kartik Hosanagar, John C. Hower Professor of Technology and Digital Business, The Wharton School, University of Pennsylvania.
Frontier AI Performance Across the Business Disciplines: A Case-Grounded Benchmark of Knowledge Work and Analytical Reasoning

Dokyun “DK” Lee, Professor of Information Systems and Computing & Data Science, Boston University.
Counting the Species of Ideas: A Bayesian Ecological Survey of LLM Idea Spaces

Ruben R Salas, PhD Student, The Wharton School, University of Pennsylvania.
Tell Me the Truth: Conjoint Analysis in the LLM Era

Yuting Deng, PhD Student, Columbia Business School, Columbia University.
AI-Moderated Interviews for Market Research and Digital Twins Calibration

Minji Jang, Postdoctoral Researcher, Ethics & Social Responsibility Initiative, INSEAD.
That’s What Claude Said: AI Overreliance as Unwarranted Closure of Inquiry

Leonard Kinzinger, PhD Candidate, Technical University Munich (TUM).
Synthetic Personalities: How Well Can LLMs Mimic Individual Respondents Using Socio-Economic Microdata?

Adam Kuzee, Pre-doctoral Researcher, MIT FutureTech, Massachusetts Institute of Technology.
Crashing Waves vs. Rising Tides: Preliminary Findings on AI Automation from Thousands of Worker Evaluations of Labor Market Tasks

Shilei Luo, PhD Student, Washington University, St. Louis.
Behavioral Transfer in AI Agents: Evidence and Privacy Implications

Alex Mari, Assistant Professor of Marketing, American University of Bahrain; University of Zurich.
The Right Time for AI Empathy in Voice Commerce: Attribution Processes and Product Category Shape Decision Satisfaction

Jiannan Xu, PhD Candidate, University of Maryland.
Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models

Andy (Hongjia) Yang, PhD Student, Georgia State University.
Governing the Emerging Agentic AI Threat Ecosystem: Evidence of Cyberattacker Dependence on LLMs from Service Outages

Sojung Yoon, PhD Candidate, Carlson School of Management, University of Minnesota.
The Impact of Generative AI on Skill Demand in the Labor Market

Junyu Zhang, PhD Student, Goizueta Business School, Emory University.
When the Answer Is a Question: AI Socratic Questioning against Online Misinformation

Luyang Zhang, PhD Student, Carnegie Mellon University, Heinz College.
Do Agents Repair When Challenged – or Just Reply? Challenge, Repair, and Public Correction in a Deployed Agent Forum

Angela Duckworth, Rosa Lee and Egbert Chang Professor, University of Pennsylvania; Faculty Co-Director, Behavior Change for Good Initiative; New York Times Bestselling Author

Alon Bergman, Assistant Professor, The Wharton School, University of Pennsylvania.
Projected Population Health Impact of Autonomous AI Primary Care in US Physician-Shortage Counties

Manuel Hoffmann, Assistant Professor, University of California, Irvine.
AI Adoption and Productivity in Healthcare

Xinyu Liang, Assistant Professor, INSEAD.
Does AI Crowd Out Context? Evidence from Clinical Radiology

Daehwan Ahn, Assistant Professor, University of Georgia, College of Family and Consumer Sciences.
Item-Mean Surrogates: Why Richer Individual-Level Data Fail to Improve LLMs as Human Surrogates

Chengfeng Mao, PhD Candidate, Sloan School of Management, Massachusetts Institute of Technology.
The Validation Dilemma of LLM Survey Surrogates

Mina Cho, PhD Student, Carlson School of Management, University of Minnesota.
Large Language Models Explain Humans Better Than Humans Themselves: Using LLMs for Tacit Knowledge Transfer

Riitta Katila, W. M. Keck Sr. Professor of Management Science, Faculty Director of the Stanford Technology Ventures Program, Stanford University.
Selecting the Future: When AI Outperforms Experts and When Experts Outperform AI

Neha Sharma, Assistant Professor, The Wharton School, University of Pennsylvania.
Generative AI Shifts Technical Knowledge Production Toward Recombinant Novelty

Stephen Zhang, Associate Professor, Baylor University.
When AI and Human Disagree in Strategic Decision Making: A Lens of Human and Machine Representation

Hongxian Huang, PhD Candidate, Stern Business School, New York University.
Generative AI Search on Content Creation Platform: Evidence from a Large-Scale Field Experiment

J. Frank Li, Assistant Professor, UBC Sauder School of Business (Canada).
Sipeng Zeng, Associate Professor, University of Science and Technology, China.
Generative Algorithms as General Algorithms

Zhiyu Zeng, Assistant Professor, Shanghai Jiao Tong University.
The Impact of Generative AI Search on Content-Sharing Platforms

Jiaxin Pei, Assistant Professor, School of Computing, UT-Austin.
How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks

Lily Poursoltan, PhD Candidate and Senior Data Scientist, University of California San Diego.
Designing Human-Agent Ecosystems: Interaction-Level Fit and Selective Delegation to Autonomous Agents

Jeremy Yang, Member of Technical Staff, Perplexity.
How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope

Sorouralsadat Fatemi, Assistant Professor, California State University, Monterey Bay, College of Business.
The Dark Side of Memory: Personalization Features and Biased Moral Advice in AI Assistants

Enoch Hyunwook Kang, PhD Student, University of Washington.
Personalized AI Alignment Revisited: The Necessity and Sufficiency of User Diversity

Yuyan Wang, Assistant Professor of Marketing, Stanford Graduate School of Business.
Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations

Hemant Bhargava, Distinguished Professor of Management; Suran Chair in Technology Management; Director of the Center for Analytics and Technology in Society, University of California, Davis.
The Structure of U.S. State AI Policy: Evidence from a Multi-Dimensional Bill Classification

Hema Yoganarasimhan, Professor of Marketing; Michael G. Foster Faculty Fellow, University of Washington.
TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI

Ramayya Krishnan, Dean and W.W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems, Heinz College, Carnegie Mellon University