Development and Construction of AI Intelligent Audit Model Based on Internet Machine Learning Algorithm

With the development of information technology, traditional audit methods can no longer meet the needs of complex businesses, so AI intelligent audit model has become a hot topic in the current audit field. This paper introduces the application status and development trend of machine learning algorithms in the field of auditing, and elaborates the research methods. Through practical application tests and comparison with traditional audit methods, the advantages of AI intelligent audit model in improving audit accuracy and efficiency are proved, and it has a wide range of application prospects and market potential. The AI intelligent audit model is extremely efficient in terms of accuracy and processing of large-scale data sets, and can quickly adapt to different environments and needs, improve audit efficiency and accuracy, and provide strong support for auditors. The model also has the ability to self-learn and optimize, and can continuously improve the audit efficiency and accuracy with the accumulation of audit data.