1. IREK – AESM: Institutional Repository of Economic Knowledge
  2. Facultatea Contabilitate
  3. 2.Articole
Please use this identifier to cite or link to this item: https://irek.ase.md:443/xmlui/handle/123456789/1390
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLapițkaia, Liudmila-
dc.contributor.authorLeahovcenco, Alexandru-
dc.date.accessioned2021-11-25T12:38:19Z-
dc.date.available2021-11-25T12:38:19Z-
dc.date.issued2020-04-
dc.identifier.isbn978-9975-75-989-2-
dc.identifier.urihttps://irek.ase.md:443/xmlui/handle/123456789/1390-
dc.descriptionLAPIȚKAIA, Liudmila, LEAHOVCENCO, Alexandru. The Use of Artificial Intelligence in Auditing Money Laundering Operations. In: Conferința internațională științifică de contabilitate, ISCA 2020 = International scientific conference on accounting, ISCA 2020 [online]: Culegere de articole științifice, 9 Edition, April 2-3, 2020. Chişinău: ASEM, 2020, pp. 148-151. ISBN 978-9975-75-989-2.en_US
dc.description.abstractIn the modern economy, focused on digital technologies, when many transactions are performed in electronic form, there is an urgent need to analyze transactions for money laundering operations. In this regard, when auditing money laundering operations, the auditor should check huge amounts of data for a short period of time, assess risks, and analyze the possibility of a client’s enterprise in the future. In this regard, artificial intelligence applications can provide significant assistance. This article discusses the applications of artificial intelligence in auditing money laundering transactions. JEL: М42; CZU: 657.6:[343.359:004.8].en_US
dc.language.isoenen_US
dc.publisherASEMen_US
dc.subjectauditen_US
dc.subjectmoney laundering operationsen_US
dc.subjectmoney laundering operationsen_US
dc.subjectartificial intelligenceen_US
dc.titleThe Use of Artificial Intelligence in Auditing Money Laundering Operationsen_US
dc.typeArticleen_US
Appears in Collections:2.Articole

Files in This Item:
File Description SizeFormat 
Lapitcaia_L_Leahovcenco_A_conf_aprilie_2020_IX_ed.pdf460.86 kBAdobe PDFThumbnail
View/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.