{"title":"Research on the Impact of Artificial Intelligence on the Development of the Accounting Industry","authors":"Liankun Chen, Minghua Lin, Long Chen","doi":"10.54097/fbem.v11i3.13328","DOIUrl":null,"url":null,"abstract":"The article explores the application of artificial intelligence in the field of accounting. Although artificial intelligence technology can improve accounting efficiency and accuracy, there are also a series of issues such as data quality, data security and privacy, model interpretability and auditing, and the balance between artificial intelligence technology and human professional literacy. Therefore, in application, it is necessary to balance the relationship between technology and human professional literacy, establish data quality control, data security protection, model interpretability, and audit mechanisms, and enhance the skills and knowledge of accountants to adapt to the development of artificial intelligence technology.","PeriodicalId":491607,"journal":{"name":"Frontiers in business, economics and management","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in business, economics and management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54097/fbem.v11i3.13328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article explores the application of artificial intelligence in the field of accounting. Although artificial intelligence technology can improve accounting efficiency and accuracy, there are also a series of issues such as data quality, data security and privacy, model interpretability and auditing, and the balance between artificial intelligence technology and human professional literacy. Therefore, in application, it is necessary to balance the relationship between technology and human professional literacy, establish data quality control, data security protection, model interpretability, and audit mechanisms, and enhance the skills and knowledge of accountants to adapt to the development of artificial intelligence technology.