信息管理与商业智能系学术讲座

时   间：2024-5-31（周五）10:00-11:00

地   点：史带楼503室

题   目：My Advisor, Her AI and Me: Evidence from a Field Experiment on Human-AI Collaboration and Investment Decisions

主讲人：Xitong Li  法国巴黎高等商学院（HEC Paris）

主持人：许嘉蓉  信息管理与商业智能系 青年副研究员

内容摘要:

Contributing to current policy and academic debates about bringing humans in the loop of Artificial intelligence (AI), we explore whether allowing humans to collaborate with AI in the AI-based service production, compared to a pure AI solution, benefits the service production and consumption side. We conduct a field experiment with a large savings bank and produce pure AI-based and human-AI collaborative investment advice to the bank's customers. On the production side, we find that implementing a human-AI collaboration by allowing bankers to have the final say with AI output does not compromise advice quality. More importantly, on the consumption side, we find that the customers are more likely to align their final investment decisions with advice from this human-AI collaboration, compared to pure AI, especially when making more risky investments. The higher reliance on human-AI collaborative advice also translates to higher monetary payoffs. Overall, the results from the field experiment suggest that bringing humans into the AI-based advisory service production is pivotal to allowing AI-enabled efficiency gains to transmit to downstream customers. In a complementary online experiment, we further uncover the mechanism underlying customers' higher reliance on bankers' participation in generating investment advice. We find that the persuasive efficacy of human-AI collaborative advice stems from social influence on the customers. Our findings not only offer new insights for companies contemplating the provision of pure AI-based services, but also enrich policy and regulatory discussions by demonstrating the value of humans in AI-based service production.

嘉宾简介:

Dr. Xitong Li is a professor of information systems at HEC Paris, France. His primary research interests are in the economics of information and AI technologies, including social media, FinTech, digital marketing, online education, human-AI/algorithms collaboration. His primary research methods include applied econometric analysis, field and laboratory experiments. Xitong’s research appears in leading international journals, such as Management Science, Information Systems Research, Management Information Systems Quarterly, Production and Operations Management, Journal of Management Information Systems, and various ACM/IEEE Transactions.

Xitong’s research has been granted by ANR AAPG France (solo PI), equivalent to National Science Foundation (NSF) in the U.S., for 2018-2023. His research has also been granted by Hi! PARIS Research Fellowship for 2021-2025.

Xitong currently serves as an Associate Editor for Information Systems Research, a top journal in the information systems field. He also served as a guest senior editor for Production and Operations Management, a top journal in the operations management field.

Xitong received INFORMS Information Systems Society (ISS) Sandy Slaughter Early Career Award in 2022, and the HEC Foundation Researcher of the Year Award in 2023. He also won the Best Paper Award at the Hawaii International Conference on System Sciences (HICSS) in 2013 and the OCIS Best Paper Award Finalist at the Academy of Management (AoM) Annual Meeting in 2017.

Xitong served as a Program Co-chair of the 42^nd International Conference on Information Systems (ICIS) 2021, and a co-chair of Symposium on Statistical Challenges in Electronic Commerce Research (SCECR) 2019.

He received a Ph.D. in management from MIT Sloan School and a Ph.D. in engineering from Tsinghua University.

信息管理与商业智能系

2024-5-24