SAI学术论坛 | 第三十八期人工智能专题讲座

SAI ACADEMIC SEMINAR

SAI 大家说

School of Artificial Intelligence

SEMINAR INFORMATION

Topic

Human-Centered AI: Designing Collaborative AI Systems for Learning, Reflection, and Creativity

Time

02:00-03:00 PM

Date

June 30th, 2026

Venue

Room 415, Teaching A

Zoom meeting

https://cuhk-edu-cn.zoom.us/j/3535854285?omn=94676400880

Meeting ID：3535854285

Speaker

Dr.YANG Kexin

(Carnegie Mellon University)

Host

Prof. ZHAO Zhanzhan

(The Chinese University of Hong Kong, Shenzhen)

ABOUT THE SPEAKER

Dr. YANG Kexin

Carnegie Mellon University

Dr. YANG Kexin received her Ph.D. in Human-Computer Interaction from the Human-Computer Interaction Institute, School of Computer Science, Carnegie Mellon University, and is currently a Postdoctoral Researcher at the University of Pennsylvania Graduate School of Education. Her research advances Human-AI collaboration by leveraging multimodal learning analytics (MMLA) and large language models (LLMs) to design, develop, and evaluate intelligent and human-centered AI systems. Her work has been published in leading venues including the ACM Conference on Human Factors in Computing Systems (CHI), ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), International Conference on Artificial Intelligence in Education (AIED), International Conference on Educational Data Mining (EDM), European Conference on Technology Enhanced Learning (EC-TEL), and the Journal of Computer Assisted Learning. Her research has received the Best Student Paper Award at EDM 2024 and the Best Design Paper Award at ISLS 2023, and has been supported by the National Science Foundation.

ABSTRACT

Artificial Intelligence is increasingly becoming a collaborative partner in education, work, and everyday life. However, designing these collaborative AI systems to effectively enhance human capabilities — while maintaining human agency — remains a fundamental challenge. This talk examines the design of human-centered AI systems across three interconnected contexts: learning, reflection, and creativity. Drawing on a series of projects spanning educational technology, generative AI, multimodal analytics, and creative-support tools, Dr. YANG demonstrates how carefully crafted AI interaction paradigms can augment cognitive and creative processes while keeping humans in meaningful control. The central question driving this research is: How can we design AI systems that enhance human learning and reflection while maintaining meaningful human control? Dr. YANG concludes by outlining future directions in Human-AI Collaboration, including AI agents and multimodal interaction, and discusses how these advances can inform the design of next-generation intelligent systems.

You are warmly welcome!