Events

• 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)

• 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)

• 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)

• 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)

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)

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)