伊利诺伊理工大学讲席助理教授舒凯老师学术讲座通知
应计算机学院智能与分布计算实验室邀请，伊利诺伊理工大学讲席助理教授舒凯老师将于2024年5月10日（周五）下午14:30举行学术报告，欢迎广大师生参加。
地 点：南一楼中433室（计算机学院会议室）
讲座主题：
Combating Misinformation in the Age of Large Language Models (LLMs)
讲座内容：
Abstract: In recent years, misinformation has become a global phenomenon. The wide dissemination of misinformation can have detrimental societal effects on individuals and the society. For example, false information is dividing people, polarizing groups, confusing readers, and can be weaponized by nation-states to exert their influence. Recently, the advent of Large Language Models (LLMs) has great potential to reshape the landscape of combating misinformation. Generally, LLMs can be a double-edged sword in the fight. On the one hand, LLMs bring promising opportunities for combating misinformation due to their profound world knowledge and strong reasoning abilities. On the other hand, the critical challenge is that LLMs can be easily leveraged to generate deceptive misinformation at scale. In this talk, we look at some lessons learned when exploring strategies of leveraging LLMs for fact-checking, discuss challenges of detecting LLM-generated misinformation, and call for interdisciplinary research from different stakeholders for combating misinformation in the age of LLMs.
主讲人介绍：
Dr. Kai Shu is a Gladwin Development Chair Assistant Professor in the Department of Computer Science at Illinois Institute of Technology. He obtained his Ph.D. in Computer Science at Arizona State University. He was the recipient of the 2020 ASU Dean’s Dissertation Award, a 2023 Microsoft Research Faculty Award, two Cisco Research Faculty Awards (2022, 2023), the finalist of a 2022 Meta Faculty Research Award, 2023 AAAI New Faculty Highlights, a 2023 DARPA AI Forward Scholarship Award, 2024 IIT Dean’s Excellence in Faculty Research Award, and 2024 NSF CAREER Award. His research interests lie in responsible AI, machine learning, data mining and natural language processing with applications in social computing and healthcare.He has published innovative works in highly ranked journals and top conferences such as KDD, ICLR, NeurIPS, SIGIR, WSDM, WWW, EMNLP, NAACL, CIKM, ICDM, IJCAI, and AAAI. His research has been supported by grants from NSF, DARPA, IARPA, DOE, the Department of Homeland Security, and by gifts and awards from industry, including Google, Cisco, and Microsoft. More can be found at http://www.cs.iit.edu/~kshu/.
