2024
DOI: 10.22495/cgobrv8i2sip8
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Bibliometric analysis of artificial intelligence trends in auditing and fraud detection

Sofia Ramos,
Jose A. Perez-Lopez,
Rute Abreu

Abstract: This research identifies trends in artificial intelligence (AI) in auditing and fraud detection using a combination of two methods: a bibliometric and a systematic review of AI trends in auditing in fraud detection. This research develops a bibliometric analysis of 1,348 papers on “fraud”, “auditing”, and “artificial intelligence” from 1986 to 2022. The results provide a robust set of information for in-depth research on AI trends in auditing and security detection. They not only demonstrate that there is grow… Show more

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