人工智能环境下企业会计方法提升风险管理的策略研究  

Research on Strategies for Enhancing Risk Management,Through Enterprise Accounting Methods Under the Background of Artificial Intelligence

作　　者：靳晓军[1] JIN Xiaojun(Taishan Vocational and Technical College,Tai'an 271001,China)

机构地区：[1]泰山职业技术学院,山东泰安271001

出　　处：《商业观察》2025年第6期89-92,共4页BUSINESS OBSERVATION

摘　　要：在人工智能技术的推动下,企业会计方法正在从传统的人工操作向智能化和自动化方向转型,这一变化为风险管理模式带来了颠覆性创新。人工智能通过深度学习、大数据分析等技术,提高了会计基础工作效率,并实现了对风险的实时识别和动态控制。然而,在应用过程中,企业仍面临数据治理难题、风险识别局限性、信息安全隐患、专业人才短缺和技术成本高昂等问题。文章从实际问题出发,结合政策支持与技术发展,提出数据治理与系统优化、智能风险识别能力提升、信息安全防护、复合型人才培养以及优化技术应用成本的多维度策略,助力企业提升会计风险管理能力,推动智能化转型。Driven by artificial intelligence(AI),enterprise accounting methods are transitioning from traditional manual operations to intelligent and automated systems.This transformation introduces disruptive innovation to risk management models.AI,through deep learning and big data analysis,improves accounting efficiency and enables real-time risk identification and dynamic control.However,challenges such as data governance,limitations in risk recognition,information security risks,talent shortages,and high technical costs remain.This study addresses these issues and proposes strategies including data governance and system optimization,enhanced intelligent risk identification,information security protection,development of interdisciplinary talent,and cost-effective technology applications to improve risk management capabilities and accelerate intelligent transformation.

关 键 词：人工智能 会计方法 风险管理 数据治理 

分 类 号：F234.3[经济管理—会计学] TP18[经济管理—国民经济]