SPEAKER：姜祺琪副教授 哥本哈根商学院

TIME/DATE：2024年7月29日 上午10:00

TENCENT：569767612

PW：856587

ABSTRACT：

In the past decades, information technology has been crucial in facilitating knowledge exchange activities by enabling connectivity and communication. This phenomenon is exemplified by the success of Wikipedia, open-source software development (e.g. Linux or GitHub), online learning (e.g., Coursea), and online communities (e.g., Reddit, Quora, and Stack Exchange). However, with the emergence of ChatGPT, an application of generative AI, the viability of such a collective intelligence model remains a matter of contention. Proponents argue that people can leverage generative AI to contribute higher-quality knowledge, while opponents question whether the demand for human-generated knowledge remains if generative AI can offer answers or solutions promptly. In this research, we collected data from the largest online Q&A community and empirically examined the impact of generative AI on dedicated knowledge contributors, primarily focusing on the quality of their contribution. Our findings revealed that the quality of knowledge contributed from dedicated users improved after the introduction of ChatGPT, which was attributed to 1) the advancement of complementary explanations accompanying the technical solutions and 2) the provision of conclusive answers. Additionally, we found that “generalists”, dedicated users contributing diverse knowledge, benefited more from generative AI.

GUEST BIO：

姜祺琪，博士，丹麦哥本哈根商学院，数字化系，副教授。他的主要研究领域包括在线知识管理与创新，游戏化应用设计，人工智能，区块链等。他的多篇研究成果发表于信息系统领域著名期刊，例如，MIS Quarterly，Journal of Management Information Systems, Journal of AIS等。目前，他担任Information & Management副编辑。