Huan Liu
Regents Professor and Ira A. Fulton Professor of Computer Science
Arizona State University, USA
Fellow of AAAI, AAAS, ACM, and IEEE
Talk Title
Interdisciplinary Intelligence: AI, Data, and Social Sciences in Dialogue
Talk Abstract
The current Generative AI (GAI) revolution is built on a simple premise: bigger is better. Tech giants are fiercely chasing the "scaling law," betting that massive data and immense compute will unlock Artificial General Intelligence (AGI). This talk challenges that assumption, arguing that scaling alone is insufficient to achieve AGI. Grounded in insights from social media mining and data science, we propose Interdisciplinary Intelligence, a collaborative framework essential for the next frontier of AI. This framework not only drives technical innovation but also tackles the urgent socio-technical challenges of the LLM era, including bias, reliability, equity, evaluation, and the integrity of AI-assisted research. This talk serves as a call to action for computer scientists, data scientists, social scientists, ethicists, and policymakers to come together and co-create the future of responsible AI.
Speaker Bio
Dr. Huan Liu is a Regents Professor and Ira A. Fulton Professor of Computer Science at Arizona State University. He is the recipient of the ACM SIGKDD 2022 Innovation Award for his outstanding contributions to the foundation, principles, and applications of social media mining and feature selection for data mining. He co-authored the textbook Social Media Mining: An Introduction, published by Cambridge University Press. He is Editor-in-Chief of ACM TIST and Field Chief Editor of Frontiers in Big Data. He is a Fellow of AAAI, AAAS, ACM, and IEEE.