Theme: AI and Economics & Management
Time: 14:00-18:00, Feb. 14, 2023
Venue: Room N219, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences
Online: Tencent Meeting 938-348-380 (password: 19854）
Hosts:
Center for Forecasting Science, Chinese Academy of Sciences
School of Economics and Management, University of Chinese Academy of Sciences School of Entrepreneurship and Management , ShanghaiTech University
Paula and Gregory Chow Institute for Studies in Economics, Xiamen University
Co-organizers:
Basic Science Center for Econometric Modeling and Economic Policy Studies NSFC
MOE Social Science Laboratory of Digital Economic Forecasts
and Policy Simulation at UCAS
Cross-research Center for Digital Economy and Data Science, Xiamen University
Economics and Finance Section, National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences
Background: With the breakthrough application of big data, computing power and learning algorithms, artificial intelligence has become the key technology to promote the economics and social development. In recent years, large-scale pre-training models such as Chat GPT, AIGC and Huawei Pangu have sprung up rapidly. The Foundation Model is becoming a "new highland" in the field of AI, leading a new wave of intelligence. These cutting-edge AI technologies also have a profound impact on research paradigms in economics, management, forecasting science and other reseche fields, bringing a series of new research issues. In order to better promote the cross-research and innovation of AI frontier technology and economics and management disciplines, CAS Center for Forecasting Science, UCAS School of Economics and Management, ShanghaiTech University School of Entrepreneurship and Management , and Paula and Gregory Chow Institute for Studies in Economics, Xiamen University, together will organize the seminar, focusing on Chat GPT AIGC and other AI cutting-edge technology principles and their impact on economics, management, and forecasting science, to promote the integration of AI and economics and management disciplines and carry out interdisciplinary exploratory research.
