【讲座预告】人机混合在公共部门的发展与应用
发布时间:2026-05-12       

Fudan-LSE Lecture Series No.88

复旦-LSE讲座系列第88期


Title/题目

The Development of Hybrid Intelligence in the Public Sector

人机混合在公共部门的发展与应用


Speaker/主讲人

Prof. Helen K. Liu, Taiwan University

刘康慧教授 台湾大学


Host/主持人

Prof .Yijia Jing, IGPP

敬乂嘉教授 全球公共政策研究院


Discussant / 评论人

Assoc. Prof. Ziteng Fan, IGPP

范梓腾副教授 全球公共政策研究院

Assis. Prof. Wenjia Song, IGPP

宋文佳助理教授 全球公共政策研究院


Time/时间

12:00-13:20, May 15, Friday, 2026

2026年5月15日,周五,12:00-13:20


Venue/地点

Room 805E, 8th Floor, West Sub-building of Guanghua Towers

光华楼西辅楼8楼805E会议室


https://v.wjx.cn/vm/tc805N5.aspx#


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主讲人介绍/ The Speaker:


Prof. Helen K. Liu

Helen K. Liu is a Professor & Chair of Political Science at the Taiwan University. She received a Ph.D. in public administration from Indiana University-Bloomington in 2009 and a BA in economics from the University of Texas-Austin. She was awarded the Yushan Young Fellow Program and the Ministry of Science and Technology Outstanding Research Award. She also serves as the Director of the NTU Center for Collective Intelligence. Her research has been published in PAR, GIQ, AJPA, and P&I, focusing on hybrid intelligence, crowdsourcing, and public engagement. She serves as an Associate Editor of Government Information Quarterly and on the editorial board of Public Administration.


讲座内容/ Abstract:

With increasing government focus on Artificial Intelligence (AI) and Collective Intelligence (CI), the connection between the two still needs further exploration. This presentation aims to explore the dynamic relationship between the two to build hybrid intelligence in the public sector. Our overview clarifies the intersection of the two, revealing how AI design can leverage crowdsourced intelligence input to improve efficiency. Simultaneously, the development of AI also depends on the quality of collective intelligence data. Furthermore, our overview highlights key areas such as smart cities (IoT), personnel, social media, and governance through case studies. We elaborate on the components of hybrid intelligence design. Finally, we use case studies to illustrate issues related to the design, regulation, and governance of hybrid intelligence in the public sector.