机器学习在审计教学中的应用——以中国ST上市公司审计报告类型预测为例

Shi-Ming Huang Shi-Ming Huang, Chang-ping Chen Shi-Ming Huang, Tzu-ching Wong Chang-ping Chen
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引用次数: 1

摘要

人工智能是会计行业一项重要的新兴技术。与人工智能及其对会计和审计工作的影响相关的恐惧和炒作已经渗透到会计和审计的专业领域。发展会计师和审计师的人工智能能力非常重要。本文提出了一个教学案例,供教授或讲师用于向会计专业的学生教授机器学习。本案例基于中国股票市场与会计研究数据库的公开数据,旨在教会学生如何预测中国ST上市公司未来的审计报告类型。通过案例教学,学生可以学习与计算机辅助审计工具和机器学习(如ACL)相关的技能,培养他们在教育和未来工作中应用人工智能的信心。
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Application of Machine Learning in Auditing Teaching: A Case Study of Predicting the Audit Report Type of China ST Listed Companies
Artificial intelligence is an important emerging technology in the accounting industry. Fear and hype associated with artificial intelligence and its impact on accounting and auditing jobs have pervaded the professional fields of accounting and auditing. It is important to develop AI competency in accountants and auditors. This paper presents a teaching case for a professor or lecturer to use for teaching machine learning to accounting students. The case is based on openly available data from the China Stock Market & Accounting Research database and aims to teach students how to predict the future audit report type of a China ST listed company. Through case teaching, students can learn skills related to computer-assisted auditing tools and machine learning (such as ACL) develop the confidence to apply artificial intelligence in their education and future work.  
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