人工智能在审计和会计:发展,当前趋势,机遇和威胁-文献综述

Aneta Zemánková
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引用次数: 9

摘要

本文的目的是分析人工智能在审计和会计领域的现状,包括最新的趋势、机会和威胁。由于其创新性,这一领域不断变化,最大的公司投入了大量资金来实现人工智能在审计和会计中的广泛应用。本文的主要目标之一是对受益于人工智能实施的审计任务进行分析,重点是风险评估。另一个目标是概述在审计和会计中使用的人工智能技术。本文最实际的目的是评估Big4公司(审计和会计领域的四大领先咨询公司)目前开发的应用程序和审计工具。本文的结果包括概述了七项基本审计任务,证明了在会计和审计过程中使用人工智能的重要性。研究还证实,最常用的技术是遗传算法和编程、模糊系统、神经网络和混合系统,上述技术的结合,专家系统和神经网络的综合被证明是最成功的。最后,本文的实践成果是对Big4最新开发的人工智能工具和创新进行总结,主要用于审计规划、对标和文件分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence in Audit and Accounting: Development, Current Trends, Opportunities and Threats - Literature Review
The aim of this paper is to analyze the current situation regarding artificial intelligence in audit and accounting, including the newest trends, opportunities and threats. Due to its innovative character, this field is constantly changing, with the biggest companies investing enormous amounts of capital to achieve wide use of artificial intelligence in audit and accounting. One of the main goals of the paper is to provide an analysis of audit tasks that benefit from artificial intelligence implementation, with an emphasis on risk assessment. Another goal is to outline artificial intelligence technologies used in audit and accounting. The most practical purpose of the paper is to evaluate the current applications and audit tools developed by Big4 companies, the four leading consulting companies in audit and accounting. The results of the paper include overview of seven essential audit tasks proving the significance of using artificial intelligence in accounting and audit process. The research also confirmed that the technologies most commonly used are genetic algorithms and programming, fuzzy systems, neural networks and hybrid systems, the combination of the aforementioned technologies, with the synthesis of expert systems and neural networks proven to be the most successful. Finally, the practical result of this paper is a summary of the Big4 latest developed artificial intelligence tools and innovations, mainly for audit planning, benchmarking and documents analysis.
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