中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 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

文献类型：期刊论文

作者Zheng, Xiaolong1,2,3; Li, Jingyu4; Lu, Mengyao4; Wang, Fei-Yue1,2,3
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
出版日期2024-01-02
页码11
ISSN号2329-924X
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
DOI10.1109/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
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.Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 101408, 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.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。