Understanding the impacts of different AI-empowered applications from a research perspective

11月9日 09:30-10:00

李喜彤   巴黎高等商学院

Given AI’ abilities to process “big data” and perform the tasks consistently, algorithms are expected to outperform humans in many circumstances. We therefore see vast implementations of algorithmic recommenders, assistant / advisors, and decision-makers in our business and society, from the most mature category of recommender systems to the least mature category. With the recent emergence and rising of generative AI and agentic AI, new forms of applications with more capabilities than ever have emerged. In this seminar, I will introduce a series of published and ongoing research works that my research team has produced to understand the impact of the various AI-empowered applications and their interactions with humans from a research perspective. I will also introduce multi-agent AI systems that my research team develops with the application domains in mental health and digital marketing, respectively.

Dr. Xitong Li is a professor of information systems at HEC Paris (a top business school in the world) and a research fellow of Hi! PARIS, the joint research center between HEC Paris and Polytechnic Institute of Paris (2026 QS World University Ranking #41). His primary research interests are in the economics of digital and AI technologies, including social media, FinTech, digital marketing, online education, and human-AI/algorithms collaboration. Xitong’s research appears in leading business journals, such as Management Science, various ACM/IEEE Transactions., and top conferences, such as WWW. Xitong’s research has been granted by ANR AAPG France (solo PI), equivalent to National Science Foundation (NSF). Xitong received INFORMS Information Systems Society (ISS) Sandy Slaughter Early Career Award in 2022. Xitong served as a Program Co-chair of the 42nd International Conference on Information Systems (ICIS) 2021, the premier international conference in IS. He received a Ph.D. in management from MIT Sloan School and a Ph.D. in engineering from Tsinghua University.