SWAIB 2024--会议通知

　　About SWAIB 2024

　　Workshop Website: 

　　https://digman.diggg.cn/swaib2024

　　Organized by

　　INFORMS College on Artificial Intelligence 

　　Association for AI and Management (AIM), Society of Management Science and Engineering of China

　　School of Management, University of Science and Technology of China

　　Shanghai Business School

　　Information

　　The rapid advancement of Artificial Intelligence (AI) technologies is transforming every aspect of business practices, introducing both challenges and opportunities for AI for business research. In response to these challenges and opportunities, the Summer Workshop on AI for Business (SWAIB) is a premier conference dedicated to research that develops novel AI models, algorithms, and methods to solve challenging problems in business and society. The workshop offers a platform for groundbreaking AI studies that solve business and societal problems from the lens of computational design science, ranging from finance, marketing and operations problems to healthcare, cybersecurity, and energy problems. 

　　Topics of interest include, but are not limited to:

　　Machine/deep learning models and algorithms

　　Generative AI for business and society

　　Models and algorithms to improve the trustworthiness of AI 

　　Evaluation of the trustworthiness of AI algorithms

　　AI for cybersecurity and cybersecurity for AI

　　Human-AI interaction

　　Explanation, transparency, bias and safety of AI

　　Explanation, transparency, bias and safety of AI

　　Training and fine-tuning of domain large language models

　　Prompt engineering of large language models

　　Data simulation methods to simulate business scenarios or customer behavior

　　Generative AI for a personalized recommendation

　　Keynote Speaker

Andrew Burton-Jones

University of Queensland

Guoqing Chen

Tsinghua University

Olivia Sheng

Arizona State University

Daniel Dajun Zeng

Institute of Automation, CAS

　　Organizing Committee

　　Conference Chairs

　　Xiao Fang, University of Delaware,

　　xfang@udel.edu

　　Junjie Wu, Beihang University,

　　wujj@buaa.edu.cn

　　Qiang Ye, University of Science and Technology of China, 

　　yeqiang@ustc.edu.cn

　　Program Chairs

　　Yong Ge, University of Arizona, 

　　yongge@arizona.edu

　　Jingjing Li, University of Virginia, 

　　jingjing.li@virginia.edu

　　Hongyan Liu,Tsinghua University,

　　liuhy@sem.tsinghua.edu.cn

　　Publicity Chairs

　　Kang Zhao, University of Iowa

　　Wenjun Zhou, The University of Tennessee, Knoxville

　　Zhepeng Li, Hong Kong University

　　Local Arrangement Chairs

　　Dongmei Han, Shanghai Business School

　　Guannan Liu, Beihang University

　　Registration & Venue

　　Dates

　　July 6-7, 2024

　　Venue

　　SHANGHAI EVERBRIGHT CONVENTION＆EXHIBITION CENTER INTERNATIONAL HOTEL

　　上海市徐汇区漕宝路66号光大国际大酒店

　　Registration Link

　　中国大陆学者注册

　　https://digman.diggg.cn/register

　　International and Hong Kong, Macau, Taiwan Registration

　　https://digman.diggg.cn/registerEn