河北大学学报(哲学社会科学版) ›› 2025, Vol. 50 ›› Issue (6): 138-146.DOI: 10.3969/j.issn.1005-6378.2025.06.014

• 经济学研究 • 上一篇    

人工智能驱动的金融变革:机遇、风险与应对

李孟刚,高林安   

  1. 北京交通大学 经济管理学院, 北京 100044
  • 收稿日期:2025-02-10 发布日期:2025-11-19
  • 作者简介:李孟刚(1967—),男,山东博兴人,博士,北京交通大学经济管理学院教授、博士生导师,北京交通大学国家经济安全研究院院长,主要研究方向:产业安全与金融。 高林安(1999—),男,山东德州人,北京交通大学经济管理学院博士研究生,主要研究方向:产业安全与金融。

Artificial Intelligence-driven Financial Trasformation: Opportunities,Risks and Responses

LI Menggang,GAO Linan   

  1. School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
  • Received:2025-02-10 Published:2025-11-19

摘要: 人工智能技术作为当前备受关注的前沿科学技术,已广泛应用于金融行业,深刻改变着社会公众的金融消费习惯。世界各国已经充分认识到人工智能技术对促进金融行业发展、引领金融科技进步的重大意义,纷纷加快抢占人工智能研究高地,布局金融行业人工智能产业链,力争在国际金融市场竞争中占据主动地位。然而,由于人工智能技术尚属于新兴技术且未经过一轮完整经济发展周期的验证,特别是其本身还存在一定的技术风险,因此,人工智能技术的应用对金融行业也带来了一系列不可忽视的挑战,对国家金融安全与稳定形成了新的威胁。首先将分析人工智能技术在金融行业兴起的背景,而后在可能带来的风险问题的基础上,提出加强人工智能治理、保障金融稳定的政策建议。

关键词: 人工智能, 金融稳定, 金融科技, 机器学习

Abstract: As a cutting-edge scientific technology currently in the “spotlight”,artificial intelligence(AI)has been widely applied in the financial industry,profoundly transforming the financial consumption habits of the public.Countries worldwide have fully recognized the critical significance of AI technology in advancing the financial sector and driving progress in financial technology.Consequently,they are actively competing to dominate AI research,strategically deploying AI industry chains within finance,and striving to secure a proactive stance in the international financial market.However,as AI technology remains an emerging field yet to undergo a full economic cycle of validation—particularly due to its inherent technical risks—its application in finance introduces a series of undeniable challenges,posing new threats to national financial security and stability.This paper begins by clarifying the background of AIs rise in the financial industry.Then based on an analysis of the significance of the application of artificial intelligence technology in the financial industry and the potential risk issues it may bring,it proposes policy recommendations to strengthen AI governance and safeguard financial stability.

Key words: artificial intelligence, financial stability, financial technology, machine learning

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