Study on AI Audit Mode in the Background of Machine Learning and Internet of Things

• Main Author: Yang, Y. (Author)
• Format: Article
• Language: English
• Published: Hindawi Limited 2022
• Subjects: Artificial intelligence research; Artificial intelligence technologies; Auditing process; 'current; Development technology; Economic and social effects; High tech; Internet of Everything; Internet of things; Internet of things technologies; Machine learning; Machine-learning; Process methods; Process-models
• Online Access: View Fulltext in Publisher

 AI is a high-tech development technology that scholars from all over the world are focusing on. It has also undergone subversive changes to the auditing industry. AI has revolutionized auditing processes, methods, and models. In recent years, the government has also vigorously promoted the application of artificial intelligence technology. Machine learning is a subpoint of artificial intelligence research, and its main purpose is to realize the anthropomorphism of electronic devices by giving them the ability to learn. The Internet of Everything has become a feature of the current era, and the Internet of Things technology has also been applied in various industries. The auditing industry is one of the key parts of promoting economic development. Machine learning and Internet of Things technology can bring more improvements to auditing under the current form of artificial intelligence. This paper mainly uses the research methods of literature analysis and case analysis, combined with various visual charts, based on the theory of machine learning and the Internet of Things, to explore the application of the two technologies in the artificial intelligence audit mode, mainly for artificial intelligence auditing in social auditing. The problems in the application are analyzed, and the artificial intelligence audit mode strategy is designed based on machine learning and the Internet of Things according to the national, industry, and social audit workers. © 2022 Yang Yang.