2nd Annual Business & Generative AI Workshop
Sponsored by AI at Wharton
September 5-6, 2024
Wharton San Francisco
2 Harrison Street
San Francisco, CA 94105
Speakers
Hancheng Cao, PhD Candidate, Stanford University
Title: “Can large language models provide useful feedback on research papers? A large-scale empirical analysis.“
Wei Chen, Associate Professor, University of Connecticut
Title: “The Economics of AI Foundation Models: Openness, Competition, and Governance“
Franziska Kaiser, PhD Student, HEC Lausanne & BU
Title: “Strategic Behavior and AI Training Data”
Madhav Kumar, Post-Doc, MIT
Title: “Generative AI and Personalized Video Advertisements”
Dokyun Lee, Associate Professor, Boston University
Title: “Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina”
Ye Li, Associate Professor, University of California, Riverside
Title: “Complementarity Neglect: People Fail to Select AI Collaborators with Complementary Abilities”
Yi Liu, Assistant Professor, University of Wisconsin-Madison
Title: “GenAI Assistance in a Professional Service Market: The Perish of Second Opinion”
Xueming Luo, Professor, Temple University
Title: “Artificial Intelligence, Emotional Labor, and Organizational Performance”
David Schweidel, Professor of Marketing, Emory University
Title: “Automated Alignment: Guiding Visual Generative AI for Brand Building and Customer Engagement”
Joao Sedoc, Assistant Professor, New York University
Title: “Dbot: Aswath Damodaran’s Analytic Twin”
Minkyu Shin, Assistant Professor, City University of Hong Kong
Title: “Consumer Voice with Large Language Models: Evidence from Complaint Data in the Finance Industry”
Shai Vardi, Professor, Purdue University
Title: “A Random Walk Modeling Framework for Boosting the Creativity of Humans and AI“
Shubin Yu, Associate Professor, BI Norwegian Business School
Title: “Working with Ghosts in the Machine: Generative AI and the Dehumanization of Self”
Xuan Zhao, CEO & Co-founder, Flourish Science
Title: “Introducing Sunnie and the STAR Framework: Key Considerations for Designing LLM-Based Conversational Agents for Enhancing Mental Well-Being”
Posters
Tijmen Jansen, PhD Student, University of Hamburg
Title: “From Pixel to Purchase: Exploring Visual Generative AI for Effective Customer Engagement and Brand Building“
Lijia Ma, PhD Candidate, University of Washington
Title: “Learning to Adopt Generative AI”
Maximilian Witte, PhD Student, University of Hamburg
Title: “Automating fit in visual influencer marketing: Leveraging generative AI to align interests of marketing and influencers”
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