New Paradigm for Economic and Financial Research With Generative AI: Impact and Perspective

doi:10.1109/TCSS.2023.3334306

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	New Paradigm for Economic and Financial Research With Generative AI: Impact and Perspective
	Zheng, Xiaolong 1,2,3; Li, Jingyu 4; Lu, Mengyao 4; Wang, Fei-Yue 1,2,3
刊名	IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
	2024-01-02
页码	11
关键词	Economics Biological system modeling Data models Task analysis Behavioral sciences Big Data Analytical models finance generative artificial intelligence (GAI) reinforcement learning from human feedback (RLHF) research paradigm
ISSN号	2329-924X
DOI	10.1109/TCSS.2023.3334306
通讯作者	Li, Jingyu(lijy@bjut.edu.cn) ; Wang, Fei-Yue(feiyue@ieee.org)
英文摘要	In the past few years, we have witnessed the rapid development and exponential growth of generative artificial intelligence (GAI) technologies including large language models (LLMs)-enabled ChatGPT and peripheral innovations. These technologies are designed to be humanlike intelligence and intuitive by providing direct access to systems using application programming interfaces (APIs). The GAI applications can fundamentally change economic and financial activities, through revolutionizing the ways that humans interact with machines and giving rise to new modes of production and behavior patterns. It is imperative to develop a new research paradigm that is more suitable than the currently dominating conventional research paradigms. This article presents the new paradigm for economic and financial research with GAI, covering the research objectives, scientific data, and models, and explores the underlying impact and perspective that bring to this field. We elaborate on the potential five scenarios including portfolio management, economic and financial prediction, extreme scenario analysis, policy analysis, and financial fraud detection. The new research paradigm with GAI proposed in this article can provide significant insights for a comprehensive understanding of innovation and transformation in this domain.
资助项目	Ministry of Science and Technology of China[2020AAA0108401] ; Natural Science Foundation of China[72225011] ; Natural Science Foundation of China[72201012] ; Natural Science Foundation of China[72293575]
WOS研究方向	Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001137349700001
资助机构	Ministry of Science and Technology of China ; Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54919]
专题	多模态人工智能系统全国重点实验室
通讯作者	Li, Jingyu; Wang, Fei-Yue
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 101408, Peoples R China 2.Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 3.Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
推荐引用方式 GB/T 7714	Zheng, Xiaolong,Li, Jingyu,Lu, Mengyao,et al. New Paradigm for Economic and Financial Research With Generative AI: Impact and Perspective[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2024:11.
APA	Zheng, Xiaolong,Li, Jingyu,Lu, Mengyao,&Wang, Fei-Yue.(2024).New Paradigm for Economic and Financial Research With Generative AI: Impact and Perspective.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,11.
MLA	Zheng, Xiaolong,et al."New Paradigm for Economic and Financial Research With Generative AI: Impact and Perspective".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2024):11.