Business & Generative AI Workshop
Sponsored by AI at Wharton
September 8, 2023
Wharton San Francisco
2 Harrison St., San Francisco, CA 94105
On September 8, AI at Wharton faculty, plus researchers, industry professionals, and academics joined together for an engaging workshop that explored the transformative role of generative AI on business models, industries, and global economies. The conference provided for thought leaders to exchange ideas and envision the future possibilities of this nascent technology.
Agenda
Session 1A: Innovation and Productivity
Session 1B: User-Generated Content Platforms
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot (Sida Peng, Microsoft)
The Consequences of Generative AI for UGC and Online Community Engagement (Gordon Burtch, Boston University)
The Impact of Generative AI on Software Development (Fangchen Song, Texas McCombs School of Business)
The Crowdless Future? How Generative AI is Shaping the Future of Human Crowdsourcing (Leonard Boussioux, University of Washington )
Economic Impacts of Adopting Generative AI: A Multi-Platform Analysis (Hongxian Huang)
Can Banning ChatGPT Save User-Generated Q&A Platforms? (Jinyang Zheng)
InnoVAE: Generative AI for Patents and Innovation (Zhaoqi “ZQ” Cheng, Boston University)
The Impacts of the AIGC Ban on Q&A Communities: Evidence from Stack Exchange (Qinglai He)
Session 2A: Labor Markets
Session 2B: Marketing
Generate the Future of Work: Empirical Evidence from Online Labor Markets (Cedric Xingchen Xu, University of Washington)
Using GPT for Market Research (Ayelet Israeli, Harvard Business School)
The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market (Oren Reshef, Washington University St. Louis)
How Much Should We Trust LLM Results for Marketing Research? (Liying Qiu)
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models (Sam Manning, OpenResearch)
SEO & SEA Content Generation – A Business Transformation Perspective (Martin Reisenbichler, University of Hamburg)
Algorithmic Writing Assistance on Jobseekers’ Resumes Increases Hires (Emma Wiles, Massachusetts Institute of Technology)
Creating Synthetic Experts with Generative Artificial Intelligence — (Additional materials online here.) (Daniel Ringel, UNC Chapel Hill)
Session 3A: Generative AI and Creativity
Session 3B: Search and Business Models
Generative AI, Human Creativity, and Art (Dokyun Lee, Boston University)
ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience (Rayna Xu, Miami University)
Large Language Model in Creative Work: The Role of Collaboration Modality and Expertise (Zenan Chen, University of Minnesota)
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment (David Rothschild, Microsoft Research)
When and How Artificial Intelligence Augments Employee Creativity (Xueming Luo, Temple University)
Price Generative AI or Keep It Free? (Manmohan Aseri, University of Pittsburgh)
Language Models for Automated Market Research: A New Way to Generate Perceptual Maps (Zsolt Katona, University of California, Berkeley)
The Web’s Great Conversation: Unveiling the Secrets of Chat-Based Search Engines (Lijia Ma, University of Washington)
Session 4A: Visual Design and Marketing
Session 4B: User Behavior and Social Implications
The power of generative marketing: Can generative AI reach human-level visual marketing content? (Yannick Exner, TUM School of Management, Munich)
Chatbots and Mental Health: Insights into the Safety of Generative AI (Julian De Freitas, Harvard Business School)
Automatic Discovery and Generation of Visual Design Characteristics: Application to Visual Conjoint (Ankit Sisodia, Purdue University)
Socializing Social Bots on Social Media (Weiguang Wang, University of Rochester)
Unbiased Bias in Generative AI (Mi Zhou)
AI and Organizational Diversity: Experimental Evidence (Nick Otis)
Poster session:
A New Index Measuring Occupational Exposure to Artificial Intelligence (Yuanyang Liu)
SmartRD: Leveraging GPT Prompting Strategies for Reasoning and Decision – The Case of Smart Contract Vulnerability Assessment (Alex Zheng)
Fine-Tuning Large Language Models for Knowledge-Intensive Tasks: Best Practices and Strategies (Jie Zheng)
Poster session:
How Generative AI-enabled Product Descriptions Improve Sales Performance: Evidence from a Quasi-Experiment at a Brazilian Supermarket Chain (Alysson De Oliveira Silveira)
MarkLLM: Marketing Techniques with LLMs (Saketh Reddy Karra)
Building a Better Email Promotion: ChatGPT and Double Machine Learning (James C. Reeder, III)
Novelty Effects in Generative AI Based Virtual Livestreamers in Livestream Shopping (Si Xie)
Session Recordings
Sida Peng
Principal Researcher, Office of Chief Economist, Microsoft
The Impact of Generative AI on Software Development
Fangchen Song
Research Assistant, Texas McCombs School of Business, University of Texas at Austin
Economic Impacts of Adopting Generative AI: A Multi-Platform Analysis
Hongxian Huang
PhD Student, Stern School of Business, New York University
Zhaoqi “ZQ” Cheng
PhD Candidate, Questrom School of Business, Boston University
Gordon Burtch
Associate Professor, Questrom School of Business, Boston University
Léonard Boussioux
Assistant Professor, Foster School of Business, University of Washington
Can Banning ChatGPT Save User-Generated Q&A Platforms?
Jinyang Zheng
Assistant Professor, Daniels School of Management, Purdue University
Cedric Xingchen Xu
Doctoral Researcher, Foster School of Business, University of Washington
Oren Reshef
Assistant Professor, Olin Business School, Washington University St. Louis
Emma Wiles
PhD Student, Massachusetts Institute of Technology
How Much Should We Trust LLM Results for Marketing Research?
Liying Qiu
PhD Student, Tepper School of Business, Carnegie Mellon University
Martin Reisenbichler
Research Associate, University of Hamburg
Creating Synthetic Experts with Generative Artificial Intelligence
Additional materials online here
Daniel Ringel
Assistant Professor, Kenan-Flagler Business School, UNC Chapel Hill
Dokyun Lee
Associate Professor, Questrom School of Business, Boston University
Xueming Luo
Professor of Marketing, Fox School of Business, Temple University
Zsolt Katona
Faculty Director, Fisher Center for Business Analytics, Haas School, University of California, Berkeley
Rayna Xu
Assistant Professor, Farmer School of Business, Miami University
Price Generative AI or Keep it Free?
Manmohan Aseri
Assistant Professor, Joseph M. Katz Graduate School of Business, University of Pittsburgh
Yannick Exner
Doctoral Researcher, TUM School of Management (Munich)
Ankit Sisodia
Assistant Professor, Purdue University
Chatbots and Mental Health: Insights into the Safety of Generative AI
Julian De Freitas
Assistant Professor, Harvard School of Business
Weiguang Wang
Assistant Professor, Simon School of Business, University of Rochester
Questions? Email [email protected]
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