題目: Generative AI and Human Knowledge Sharing: Evidence from A Natural Experiment
時間：12月8日（星期五）上午9:30
地點：#騰訊會議：857-520-991
報告內容簡介：
Generative AI, known for its content creation capabilities, possesses great potential to reshape knowledge-sharing activities. By leveraging a unique policy of a leading online Q&A platform that introduces generative AI answers, we explore the effects of generative AI answers on human knowledge contribution efforts in knowledge-sharing platforms. Our findings demonstrate the positive effects of the generative AI answers on human knowledge contribution efforts, both in terms of quantity and length of the subsequent answers to a question. Notably, a more nuanced investigation into human-AI answer similarity indicates that generative AI answers prompt users to provide answers more aligned with the AI-generated answers, underscoring the AI-conformity effect rather than the AI-differentiation effect as the underlying mechanism. Moreover, we observe an increase in human experts’contribution following the introduction of generative AI answers, suggesting generative AI answers encourage rather than crowd out human experts’contribution to the platform. In a follow-up randomized experiment, we offer corroborative evidence for the results of empirical analysis. Furthermore, it provides preliminary evidence that labeling generative AI as the knowledge provider, rather than the content of generative AI answers, primarily drives the observed effects of introducing generative AI answers. Our research highlights the potential of generative AI to motivate human participation in knowledge generation and dissemination, adding to the burgeoning body of work on how generative AI influences human knowledge sharing.
報告人簡介:
Dr. Liangfei Qiu is the PricewaterhouseCoopers Professor and University Research Foundation Professor at Warrington College of Business, University of Florida. He also serves as the Ph.D. coordinator for the Department of Information Systems and Operations Management. His current research focuses on social technology (social networks, social media, and prediction markets), platform technology (sharing/gig economy, e-commerce platforms, and healthcare analytics), and telecommunications technology. His research has appeared in premier academic journals, including Information Systems Research (ISR), MIS Quarterly (MISQ), Production and Operations Management (POM), Journal of Management Information Systems (JMIS), and Decision Support Systems (DSS). He is currently an Associate Editor for MISQ, a Senior Editor for POM, and an Associate Editor for DSS and Decision Sciences Journal (DSJ).
（承辦：管理工程系、科研與學術交流中心）
